Overview

Dataset statistics

Number of variables165
Number of observations6035
Missing cells215548
Missing cells (%)21.6%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory7.6 MiB
Average record size in memory1.3 KiB

Variable types

Categorical165

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates
Symptom_Loss_of_smell is highly overall correlated with Symptom_Loss_of_tasteHigh correlation
Symptom_Loss_of_taste is highly overall correlated with Symptom_Loss_of_smellHigh correlation
Symptom_Insomnia is highly overall correlated with Symptom_Difficulty_falling_asleep and 2 other fieldsHigh correlation
Symptom_Difficulty_falling_asleep is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Waking_up_early is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Waking_up_in_night is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Coughing_up_blood is highly overall correlated with Symptom_coughing_up_bloodHigh correlation
Symptom_Eye_vision_symptoms is highly overall correlated with Symptom_Eye_Vision_blurred_visionHigh correlation
Symptom_Reproductive_all_menstrual_issues is highly overall correlated with Symptom_Reproductive_abnormally_irregular_periodsHigh correlation
Symptom_New_allergies is highly overall correlated with Symptom_SkinAllergy_new_allergiesHigh correlation
Symptom_coughing_up_blood is highly overall correlated with Symptom_Coughing_up_bloodHigh correlation
Symptom_Eye_Vision_blurred_vision is highly overall correlated with Symptom_Eye_vision_symptomsHigh correlation
Symptom_Reproductive_abnormally_irregular_periods is highly overall correlated with Symptom_Reproductive_all_menstrual_issuesHigh correlation
Symptom_SkinAllergy_new_allergies is highly overall correlated with Symptom_New_allergiesHigh correlation
Symptom_Memory_short is highly imbalanced (53.2%)Imbalance
Symptom_Cognitive_Functioning_other is highly imbalanced (52.7%)Imbalance
Symptom_Speech_difficulty_finding_words is highly imbalanced (71.8%)Imbalance
Symptom_Speech_changes_to_secondary_languages is highly imbalanced (50.3%)Imbalance
Symptom_Speech_other is highly imbalanced (58.2%)Imbalance
Symptom_Heightened_taste is highly imbalanced (70.6%)Imbalance
Symptom_Sensations_facial_pressure_left is highly imbalanced (53.8%)Imbalance
Symptom_Sensations_facial_pressure_right is highly imbalanced (58.4%)Imbalance
Symptom_Sensations_facial_pressure_other is highly imbalanced (61.8%)Imbalance
Symptom_Sensations_facial_paralysis is highly imbalanced (76.0%)Imbalance
Symptom_New_anaphylaxis is highly imbalanced (74.4%)Imbalance
Symptom_Coughing_up_blood is highly imbalanced (72.3%)Imbalance
Symptom_Respiratory_other is highly imbalanced (57.6%)Imbalance
Symptom_Hearing_loss is highly imbalanced (54.0%)Imbalance
Symptom_Dermatographia is highly imbalanced (59.7%)Imbalance
Symptom_New_allergies is highly imbalanced (56.5%)Imbalance
Symptom_Skin_Allergy_other is highly imbalanced (54.5%)Imbalance
Symptom_Inability_to_yawn is highly imbalanced (58.8%)Imbalance
Symptom_inability_to_cry is highly imbalanced (60.8%)Imbalance
Symptom_coughing_up_blood is highly imbalanced (71.4%)Imbalance
Symptom_Ear_numbness is highly imbalanced (57.3%)Imbalance
Symptom_Eye_Vision_double_vision is highly imbalanced (59.9%)Imbalance
Symptom_Eye_Vision_tunnel_vision is highly imbalanced (76.6%)Imbalance
Symptom_Eye_Vision_loss_of_vision is highly imbalanced (91.2%)Imbalance
Symptom_Eye_Vision_redness_outside_eye is highly imbalanced (58.7%)Imbalance
Symptom_Reproductive_early_menopause is highly imbalanced (79.4%)Imbalance
Symptom_Reproductive_testicle_penis_pain_changes is highly imbalanced (58.2%)Imbalance
Symptom_Reproductive_postmenopausal_bleeding is highly imbalanced (77.0%)Imbalance
Symptom_SkinAllergy_other_itchy is highly imbalanced (50.4%)Imbalance
Symptom_SkinAllergy_shingles is highly imbalanced (71.9%)Imbalance
Symptom_Fatigue is highly imbalanced (85.6%)Imbalance
Symptom_Memory_short has 1444 (23.9%) missing valuesMissing
Symptom_Memory_long has 1444 (23.9%) missing valuesMissing
Symptom_Memory_no_new_memories has 1444 (23.9%) missing valuesMissing
Symptom_Memory_forget_tasks has 1444 (23.9%) missing valuesMissing
Symptom_Memory_other has 1444 (23.9%) missing valuesMissing
Symptom_Cognitive_Functioning_thinking has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_executive has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_problemsolving has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_slowedthoughts has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_fastthoughts has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_agnosia has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_attentionconcentration has 856 (14.2%) missing valuesMissing
Symptom_Cognitive_Functioning_other has 856 (14.2%) missing valuesMissing
Symptom_Speech_difficulty_finding_words has 2956 (49.0%) missing valuesMissing
Symptom_Speech_difficulty_communicating_verbally has 2956 (49.0%) missing valuesMissing
Symptom_Speech_difficulty_reading_processing_text has 2956 (49.0%) missing valuesMissing
Symptom_Speech_difficulty_understanding_others_speech has 2956 (49.0%) missing valuesMissing
Symptom_Speech_difficulty_speaking_complete_sentences has 2956 (49.0%) missing valuesMissing
Symptom_Speech_speaking_unrecognizable_words has 2956 (49.0%) missing valuesMissing
Symptom_Speech_difficulty_communicating_writing has 2956 (49.0%) missing valuesMissing
Symptom_Speech_changes_to_secondary_languages has 2956 (49.0%) missing valuesMissing
Symptom_Speech_other has 2956 (49.0%) missing valuesMissing
Symptom_Headaches_behind_eyes has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_stiff_neck has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_brain_pressure has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_diffuse has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_temples has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_base_of_skull has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_after_mental_exertion has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_migraines has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_other has 1446 (24.0%) missing valuesMissing
Symptom_Headaches_brain_warmth has 1446 (24.0%) missing valuesMissing
Symptom_Loss_of_smell has 2449 (40.6%) missing valuesMissing
Symptom_Loss_of_taste has 2449 (40.6%) missing valuesMissing
Symptom_Altered_taste has 2449 (40.6%) missing valuesMissing
Symptom_Phantom_smell has 2449 (40.6%) missing valuesMissing
Symptom_Altered_smell has 2449 (40.6%) missing valuesMissing
Symptom_Phantom_taste has 2449 (40.6%) missing valuesMissing
Symptom_Heightened_smell has 2449 (40.6%) missing valuesMissing
Symptom_Heightened_taste has 2449 (40.6%) missing valuesMissing
Symptom_Vibrating_sensations has 2842 (47.1%) missing valuesMissing
Symptom_Tremors has 2842 (47.1%) missing valuesMissing
Symptom_Insomnia has 1090 (18.1%) missing valuesMissing
Symptom_Night_sweats has 1090 (18.1%) missing valuesMissing
Symptom_Awakened_cannot_breathe has 1090 (18.1%) missing valuesMissing
Symptom_Vivid_dreams has 1090 (18.1%) missing valuesMissing
Symptom_Nightmares has 1090 (18.1%) missing valuesMissing
Symptom_Restless_leg has 1090 (18.1%) missing valuesMissing
Symptom_Lucid_dreams has 1090 (18.1%) missing valuesMissing
Symptom_Sleep_apnea has 1090 (18.1%) missing valuesMissing
Symptom_Sleep_other has 1090 (18.1%) missing valuesMissing
Symptom_Difficulty_falling_asleep has 2427 (40.2%) missing valuesMissing
Symptom_Waking_up_early has 2427 (40.2%) missing valuesMissing
Symptom_Waking_up_in_night has 2427 (40.2%) missing valuesMissing
Symptom_Hallucinations_visual has 5089 (84.3%) missing valuesMissing
Symptom_Hallucinations_auditory has 5089 (84.3%) missing valuesMissing
Symptom_Hallucinations_tactile has 5089 (84.3%) missing valuesMissing
Symptom_Hallucinations_other has 5089 (84.3%) missing valuesMissing
Symptom_Sensations_skin_burning_no_rash has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_numbness_loss_sensation has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_numbness_one_sided_weakness has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_coldness has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_tingling_prickling has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_electrical_zaps has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_weakness has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_facial_pressure_left has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_facial_pressure_right has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_facial_pressure_other has 1151 (19.1%) missing valuesMissing
Symptom_Sensations_facial_paralysis has 1151 (19.1%) missing valuesMissing
Symptom_Temp_lability has 1921 (31.8%) missing valuesMissing
Symptom_Heat_intolerance has 1151 (19.1%) missing valuesMissing
Symptom_Merged_temperature_other_temp_issues has 1151 (19.1%) missing valuesMissing
Symptom_Extreme_thirst has 2105 (34.9%) missing valuesMissing
Symptom_Difficulty_swallowing has 2105 (34.9%) missing valuesMissing
Symptom_Changes_in_voice has 2105 (34.9%) missing valuesMissing
Symptom_Inability_to_yawn has 2105 (34.9%) missing valuesMissing
Symptom_inability_to_cry has 2105 (34.9%) missing valuesMissing
Symptom_coughing_up_blood has 2105 (34.9%) missing valuesMissing
Symptom_Ear_sensitivity_to_noise has 2619 (43.4%) missing valuesMissing
Symptom_Ear_ear_pain has 2619 (43.4%) missing valuesMissing
Symptom_Ear_changes_to_ear_canal has 2619 (43.4%) missing valuesMissing
Symptom_Ear_numbness has 2619 (43.4%) missing valuesMissing
Symptom_Other_ear_hearing_symptoms has 2619 (43.4%) missing valuesMissing
Symptom_Reproductive_early_menopause has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_abnormally_heavy_periods_clotting has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_testicle_penis_pain_changes has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_sexual_dysfunction has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_postmenopausal_bleeding has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_other_urinary_issues has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_other_menstrual_issues has 3431 (56.9%) missing valuesMissing
Symptom_Reproductive_abnormally_irregular_periods has 3431 (56.9%) missing valuesMissing
Symptom_Gastrointestinal_feeling_full_quickly_eating has 2555 (42.3%) missing valuesMissing
Symptom_Gastrointestinal_abdominal_pain has 2555 (42.3%) missing valuesMissing
Symptom_Gastrointestinal_hyperactive_bowel has 2555 (42.3%) missing valuesMissing
Symptom_SkinAllergy_itchy_skin has 2853 (47.3%) missing valuesMissing
Symptom_SkinAllergy_itchy_eyes has 2853 (47.3%) missing valuesMissing
Symptom_SkinAllergy_heighted_reaction_allergies has 2853 (47.3%) missing valuesMissing
Symptom_SkinAllergy_brittle_nail has 2853 (47.3%) missing valuesMissing
Symptom_SkinAllergy_new_allergies has 2853 (47.3%) missing valuesMissing
Symptom_SkinAllergy_other_itchy has 2853 (47.3%) missing valuesMissing
Symptom_SkinAllergy_shingles has 2853 (47.3%) missing valuesMissing

Reproduction

Analysis started2023-09-05 22:32:19.338384
Analysis finished2023-09-05 22:32:48.049663
Duration28.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Symptom_Memory_short
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1444
Missing (%)23.9%
Memory size47.3 KiB
1.0
4134 
0.0
457 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13773
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4134
68.5%
0.0 457
 
7.6%
(Missing) 1444
 
23.9%

Length

2023-09-05T23:32:48.140330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.186162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4134
90.0%
0.0 457
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0 5048
36.7%
. 4591
33.3%
1 4134
30.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9182
66.7%
Other Punctuation 4591
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5048
55.0%
1 4134
45.0%
Other Punctuation
ValueCountFrequency (%)
. 4591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5048
36.7%
. 4591
33.3%
1 4134
30.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5048
36.7%
. 4591
33.3%
1 4134
30.0%

Symptom_Memory_long
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1444
Missing (%)23.9%
Memory size47.3 KiB
1.0
2506 
0.0
2085 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13773
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2506
41.5%
0.0 2085
34.5%
(Missing) 1444
23.9%

Length

2023-09-05T23:32:48.225613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.263784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2506
54.6%
0.0 2085
45.4%

Most occurring characters

ValueCountFrequency (%)
0 6676
48.5%
. 4591
33.3%
1 2506
 
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9182
66.7%
Other Punctuation 4591
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6676
72.7%
1 2506
 
27.3%
Other Punctuation
ValueCountFrequency (%)
. 4591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6676
48.5%
. 4591
33.3%
1 2506
 
18.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6676
48.5%
. 4591
33.3%
1 2506
 
18.2%

Symptom_Memory_no_new_memories
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1444
Missing (%)23.9%
Memory size47.3 KiB
0.0
4063 
1.0
528 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13773
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4063
67.3%
1.0 528
 
8.7%
(Missing) 1444
 
23.9%

Length

2023-09-05T23:32:48.310031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.351902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4063
88.5%
1.0 528
 
11.5%

Most occurring characters

ValueCountFrequency (%)
0 8654
62.8%
. 4591
33.3%
1 528
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9182
66.7%
Other Punctuation 4591
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8654
94.2%
1 528
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 4591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8654
62.8%
. 4591
33.3%
1 528
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8654
62.8%
. 4591
33.3%
1 528
 
3.8%

Symptom_Memory_forget_tasks
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1444
Missing (%)23.9%
Memory size47.3 KiB
0.0
3759 
1.0
832 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13773
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3759
62.3%
1.0 832
 
13.8%
(Missing) 1444
 
23.9%

Length

2023-09-05T23:32:48.391226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.426894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3759
81.9%
1.0 832
 
18.1%

Most occurring characters

ValueCountFrequency (%)
0 8350
60.6%
. 4591
33.3%
1 832
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9182
66.7%
Other Punctuation 4591
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8350
90.9%
1 832
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 4591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8350
60.6%
. 4591
33.3%
1 832
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8350
60.6%
. 4591
33.3%
1 832
 
6.0%

Symptom_Memory_other
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1444
Missing (%)23.9%
Memory size47.3 KiB
0.0
3866 
1.0
725 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13773
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3866
64.1%
1.0 725
 
12.0%
(Missing) 1444
 
23.9%

Length

2023-09-05T23:32:48.465261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.499703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3866
84.2%
1.0 725
 
15.8%

Most occurring characters

ValueCountFrequency (%)
0 8457
61.4%
. 4591
33.3%
1 725
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9182
66.7%
Other Punctuation 4591
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8457
92.1%
1 725
 
7.9%
Other Punctuation
ValueCountFrequency (%)
. 4591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8457
61.4%
. 4591
33.3%
1 725
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8457
61.4%
. 4591
33.3%
1 725
 
5.3%

Symptom_Cognitive_Functioning_thinking
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
1.0
4020 
0.0
1159 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 4020
66.6%
0.0 1159
 
19.2%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:48.537926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.574348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4020
77.6%
0.0 1159
 
22.4%

Most occurring characters

ValueCountFrequency (%)
0 6338
40.8%
. 5179
33.3%
1 4020
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6338
61.2%
1 4020
38.8%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6338
40.8%
. 5179
33.3%
1 4020
25.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6338
40.8%
. 5179
33.3%
1 4020
25.9%

Symptom_Cognitive_Functioning_executive
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
1.0
3552 
0.0
1627 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 3552
58.9%
0.0 1627
27.0%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:48.613134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.649624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3552
68.6%
0.0 1627
31.4%

Most occurring characters

ValueCountFrequency (%)
0 6806
43.8%
. 5179
33.3%
1 3552
22.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6806
65.7%
1 3552
34.3%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6806
43.8%
. 5179
33.3%
1 3552
22.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6806
43.8%
. 5179
33.3%
1 3552
22.9%

Symptom_Cognitive_Functioning_problemsolving
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
1.0
3361 
0.0
1818 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 3361
55.7%
0.0 1818
30.1%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:48.688389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.725430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3361
64.9%
0.0 1818
35.1%

Most occurring characters

ValueCountFrequency (%)
0 6997
45.0%
. 5179
33.3%
1 3361
21.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6997
67.6%
1 3361
32.4%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6997
45.0%
. 5179
33.3%
1 3361
21.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6997
45.0%
. 5179
33.3%
1 3361
21.6%

Symptom_Cognitive_Functioning_slowedthoughts
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
1.0
2596 
0.0
2583 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2596
43.0%
0.0 2583
42.8%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:48.766559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.804129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2596
50.1%
0.0 2583
49.9%

Most occurring characters

ValueCountFrequency (%)
0 7762
50.0%
. 5179
33.3%
1 2596
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7762
74.9%
1 2596
 
25.1%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7762
50.0%
. 5179
33.3%
1 2596
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7762
50.0%
. 5179
33.3%
1 2596
 
16.7%

Symptom_Cognitive_Functioning_fastthoughts
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
0.0
4134 
1.0
1045 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4134
68.5%
1.0 1045
 
17.3%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:48.848065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.886931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4134
79.8%
1.0 1045
 
20.2%

Most occurring characters

ValueCountFrequency (%)
0 9313
59.9%
. 5179
33.3%
1 1045
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9313
89.9%
1 1045
 
10.1%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9313
59.9%
. 5179
33.3%
1 1045
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9313
59.9%
. 5179
33.3%
1 1045
 
6.7%

Symptom_Cognitive_Functioning_agnosia
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
0.0
4526 
1.0
653 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4526
75.0%
1.0 653
 
10.8%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:48.928152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:48.964928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4526
87.4%
1.0 653
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 9705
62.5%
. 5179
33.3%
1 653
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9705
93.7%
1 653
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9705
62.5%
. 5179
33.3%
1 653
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9705
62.5%
. 5179
33.3%
1 653
 
4.2%

Symptom_Cognitive_Functioning_attentionconcentration
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
1.0
4544 
0.0
635 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4544
75.3%
0.0 635
 
10.5%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:49.004287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.040874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4544
87.7%
0.0 635
 
12.3%

Most occurring characters

ValueCountFrequency (%)
0 5814
37.4%
. 5179
33.3%
1 4544
29.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5814
56.1%
1 4544
43.9%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5814
37.4%
. 5179
33.3%
1 4544
29.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5814
37.4%
. 5179
33.3%
1 4544
29.2%

Symptom_Cognitive_Functioning_other
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing856
Missing (%)14.2%
Memory size47.3 KiB
0.0
4654 
1.0
525 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15537
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 4654
77.1%
1.0 525
 
8.7%
(Missing) 856
 
14.2%

Length

2023-09-05T23:32:49.080034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.117981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4654
89.9%
1.0 525
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0 9833
63.3%
. 5179
33.3%
1 525
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10358
66.7%
Other Punctuation 5179
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9833
94.9%
1 525
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 5179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9833
63.3%
. 5179
33.3%
1 525
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9833
63.3%
. 5179
33.3%
1 525
 
3.4%

Symptom_Speech_difficulty_finding_words
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
1.0
2928 
0.0
 
151

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2928
48.5%
0.0 151
 
2.5%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.162452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.200373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2928
95.1%
0.0 151
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 3230
35.0%
. 3079
33.3%
1 2928
31.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3230
52.5%
1 2928
47.5%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3230
35.0%
. 3079
33.3%
1 2928
31.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3230
35.0%
. 3079
33.3%
1 2928
31.7%

Symptom_Speech_difficulty_communicating_verbally
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
1.0
1849 
0.0
1230 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 1849
30.6%
0.0 1230
20.4%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.239658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.277117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1849
60.1%
0.0 1230
39.9%

Most occurring characters

ValueCountFrequency (%)
0 4309
46.6%
. 3079
33.3%
1 1849
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4309
70.0%
1 1849
30.0%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4309
46.6%
. 3079
33.3%
1 1849
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4309
46.6%
. 3079
33.3%
1 1849
20.0%

Symptom_Speech_difficulty_reading_processing_text
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
1.0
1566 
0.0
1513 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 1566
25.9%
0.0 1513
25.1%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.317934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.355287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1566
50.9%
0.0 1513
49.1%

Most occurring characters

ValueCountFrequency (%)
0 4592
49.7%
. 3079
33.3%
1 1566
 
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4592
74.6%
1 1566
 
25.4%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4592
49.7%
. 3079
33.3%
1 1566
 
17.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4592
49.7%
. 3079
33.3%
1 1566
 
17.0%

Symptom_Speech_difficulty_understanding_others_speech
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
1.0
1567 
0.0
1512 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 1567
26.0%
0.0 1512
25.1%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.395783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.432909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1567
50.9%
0.0 1512
49.1%

Most occurring characters

ValueCountFrequency (%)
0 4591
49.7%
. 3079
33.3%
1 1567
 
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4591
74.6%
1 1567
 
25.4%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4591
49.7%
. 3079
33.3%
1 1567
 
17.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4591
49.7%
. 3079
33.3%
1 1567
 
17.0%

Symptom_Speech_difficulty_speaking_complete_sentences
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
0.0
1667 
1.0
1412 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1667
27.6%
1.0 1412
23.4%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.473380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.510491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1667
54.1%
1.0 1412
45.9%

Most occurring characters

ValueCountFrequency (%)
0 4746
51.4%
. 3079
33.3%
1 1412
 
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4746
77.1%
1 1412
 
22.9%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4746
51.4%
. 3079
33.3%
1 1412
 
15.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4746
51.4%
. 3079
33.3%
1 1412
 
15.3%

Symptom_Speech_speaking_unrecognizable_words
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
0.0
2508 
1.0
571 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2508
41.6%
1.0 571
 
9.5%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.550470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.733021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2508
81.5%
1.0 571
 
18.5%

Most occurring characters

ValueCountFrequency (%)
0 5587
60.5%
. 3079
33.3%
1 571
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5587
90.7%
1 571
 
9.3%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5587
60.5%
. 3079
33.3%
1 571
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5587
60.5%
. 3079
33.3%
1 571
 
6.2%

Symptom_Speech_difficulty_communicating_writing
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
0.0
2068 
1.0
1011 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2068
34.3%
1.0 1011
 
16.8%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.773972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.812184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2068
67.2%
1.0 1011
32.8%

Most occurring characters

ValueCountFrequency (%)
0 5147
55.7%
. 3079
33.3%
1 1011
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5147
83.6%
1 1011
 
16.4%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5147
55.7%
. 3079
33.3%
1 1011
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5147
55.7%
. 3079
33.3%
1 1011
 
10.9%

Symptom_Speech_changes_to_secondary_languages
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
0.0
2743 
1.0
336 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2743
45.5%
1.0 336
 
5.6%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.853694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.892827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2743
89.1%
1.0 336
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0 5822
63.0%
. 3079
33.3%
1 336
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5822
94.5%
1 336
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5822
63.0%
. 3079
33.3%
1 336
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5822
63.0%
. 3079
33.3%
1 336
 
3.6%

Symptom_Speech_other
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2956
Missing (%)49.0%
Memory size47.3 KiB
0.0
2819 
1.0
 
260

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9237
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2819
46.7%
1.0 260
 
4.3%
(Missing) 2956
49.0%

Length

2023-09-05T23:32:49.933828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:49.972823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2819
91.6%
1.0 260
 
8.4%

Most occurring characters

ValueCountFrequency (%)
0 5898
63.9%
. 3079
33.3%
1 260
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6158
66.7%
Other Punctuation 3079
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5898
95.8%
1 260
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3079
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5898
63.9%
. 3079
33.3%
1 260
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5898
63.9%
. 3079
33.3%
1 260
 
2.8%

Symptom_Headaches_behind_eyes
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
1.0
2423 
0.0
2166 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2423
40.1%
0.0 2166
35.9%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.012377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.046998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2423
52.8%
0.0 2166
47.2%

Most occurring characters

ValueCountFrequency (%)
0 6755
49.1%
. 4589
33.3%
1 2423
 
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6755
73.6%
1 2423
 
26.4%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6755
49.1%
. 4589
33.3%
1 2423
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6755
49.1%
. 4589
33.3%
1 2423
 
17.6%

Symptom_Headaches_stiff_neck
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
1.0
2413 
0.0
2176 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2413
40.0%
0.0 2176
36.1%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.084959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.119624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2413
52.6%
0.0 2176
47.4%

Most occurring characters

ValueCountFrequency (%)
0 6765
49.1%
. 4589
33.3%
1 2413
 
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6765
73.7%
1 2413
 
26.3%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6765
49.1%
. 4589
33.3%
1 2413
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6765
49.1%
. 4589
33.3%
1 2413
 
17.5%

Symptom_Headaches_brain_pressure
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
2562 
1.0
2027 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2562
42.5%
1.0 2027
33.6%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.157425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.191775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2562
55.8%
1.0 2027
44.2%

Most occurring characters

ValueCountFrequency (%)
0 7151
51.9%
. 4589
33.3%
1 2027
 
14.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7151
77.9%
1 2027
 
22.1%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7151
51.9%
. 4589
33.3%
1 2027
 
14.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7151
51.9%
. 4589
33.3%
1 2027
 
14.7%

Symptom_Headaches_diffuse
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
2516 
1.0
2073 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2516
41.7%
1.0 2073
34.3%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.229518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.264030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2516
54.8%
1.0 2073
45.2%

Most occurring characters

ValueCountFrequency (%)
0 7105
51.6%
. 4589
33.3%
1 2073
 
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7105
77.4%
1 2073
 
22.6%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7105
51.6%
. 4589
33.3%
1 2073
 
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7105
51.6%
. 4589
33.3%
1 2073
 
15.1%

Symptom_Headaches_temples
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
2488 
1.0
2101 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2488
41.2%
1.0 2101
34.8%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.301688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.336543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2488
54.2%
1.0 2101
45.8%

Most occurring characters

ValueCountFrequency (%)
0 7077
51.4%
. 4589
33.3%
1 2101
 
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7077
77.1%
1 2101
 
22.9%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7077
51.4%
. 4589
33.3%
1 2101
 
15.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7077
51.4%
. 4589
33.3%
1 2101
 
15.3%

Symptom_Headaches_base_of_skull
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
2890 
1.0
1699 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2890
47.9%
1.0 1699
28.2%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.373939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.408798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2890
63.0%
1.0 1699
37.0%

Most occurring characters

ValueCountFrequency (%)
0 7479
54.3%
. 4589
33.3%
1 1699
 
12.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7479
81.5%
1 1699
 
18.5%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7479
54.3%
. 4589
33.3%
1 1699
 
12.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7479
54.3%
. 4589
33.3%
1 1699
 
12.3%

Symptom_Headaches_after_mental_exertion
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
2971 
1.0
1618 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2971
49.2%
1.0 1618
26.8%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.446187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.480872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2971
64.7%
1.0 1618
35.3%

Most occurring characters

ValueCountFrequency (%)
0 7560
54.9%
. 4589
33.3%
1 1618
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7560
82.4%
1 1618
 
17.6%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7560
54.9%
. 4589
33.3%
1 1618
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7560
54.9%
. 4589
33.3%
1 1618
 
11.8%

Symptom_Headaches_migraines
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
3132 
1.0
1457 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3132
51.9%
1.0 1457
24.1%
(Missing) 1446
24.0%

Length

2023-09-05T23:32:50.518205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.552590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3132
68.3%
1.0 1457
31.7%

Most occurring characters

ValueCountFrequency (%)
0 7721
56.1%
. 4589
33.3%
1 1457
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7721
84.1%
1 1457
 
15.9%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7721
56.1%
. 4589
33.3%
1 1457
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7721
56.1%
. 4589
33.3%
1 1457
 
10.6%

Symptom_Headaches_other
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
3785 
1.0
804 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3785
62.7%
1.0 804
 
13.3%
(Missing) 1446
 
24.0%

Length

2023-09-05T23:32:50.590561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.624889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3785
82.5%
1.0 804
 
17.5%

Most occurring characters

ValueCountFrequency (%)
0 8374
60.8%
. 4589
33.3%
1 804
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8374
91.2%
1 804
 
8.8%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8374
60.8%
. 4589
33.3%
1 804
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8374
60.8%
. 4589
33.3%
1 804
 
5.8%

Symptom_Headaches_brain_warmth
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1446
Missing (%)24.0%
Memory size47.3 KiB
0.0
3861 
1.0
728 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters13767
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3861
64.0%
1.0 728
 
12.1%
(Missing) 1446
 
24.0%

Length

2023-09-05T23:32:50.662776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.697091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3861
84.1%
1.0 728
 
15.9%

Most occurring characters

ValueCountFrequency (%)
0 8450
61.4%
. 4589
33.3%
1 728
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9178
66.7%
Other Punctuation 4589
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8450
92.1%
1 728
 
7.9%
Other Punctuation
ValueCountFrequency (%)
. 4589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8450
61.4%
. 4589
33.3%
1 728
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8450
61.4%
. 4589
33.3%
1 728
 
5.3%

Symptom_Loss_of_smell
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
1.0
2365 
0.0
1221 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2365
39.2%
0.0 1221
20.2%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:50.736459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.775328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2365
66.0%
0.0 1221
34.0%

Most occurring characters

ValueCountFrequency (%)
0 4807
44.7%
. 3586
33.3%
1 2365
22.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4807
67.0%
1 2365
33.0%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4807
44.7%
. 3586
33.3%
1 2365
22.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4807
44.7%
. 3586
33.3%
1 2365
22.0%

Symptom_Loss_of_taste
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
1.0
2160 
0.0
1426 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2160
35.8%
0.0 1426
23.6%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:50.816516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.855363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2160
60.2%
0.0 1426
39.8%

Most occurring characters

ValueCountFrequency (%)
0 5012
46.6%
. 3586
33.3%
1 2160
20.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5012
69.9%
1 2160
30.1%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5012
46.6%
. 3586
33.3%
1 2160
20.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5012
46.6%
. 3586
33.3%
1 2160
20.1%

Symptom_Altered_taste
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
0.0
1903 
1.0
1683 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 1903
31.5%
1.0 1683
27.9%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:50.896585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:50.935848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1903
53.1%
1.0 1683
46.9%

Most occurring characters

ValueCountFrequency (%)
0 5489
51.0%
. 3586
33.3%
1 1683
 
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5489
76.5%
1 1683
 
23.5%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5489
51.0%
. 3586
33.3%
1 1683
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5489
51.0%
. 3586
33.3%
1 1683
 
15.6%

Symptom_Phantom_smell
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
0.0
2085 
1.0
1501 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2085
34.5%
1.0 1501
24.9%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:50.977242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.015982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2085
58.1%
1.0 1501
41.9%

Most occurring characters

ValueCountFrequency (%)
0 5671
52.7%
. 3586
33.3%
1 1501
 
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5671
79.1%
1 1501
 
20.9%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5671
52.7%
. 3586
33.3%
1 1501
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5671
52.7%
. 3586
33.3%
1 1501
 
14.0%

Symptom_Altered_smell
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
0.0
2218 
1.0
1368 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2218
36.8%
1.0 1368
22.7%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:51.057308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.096200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2218
61.9%
1.0 1368
38.1%

Most occurring characters

ValueCountFrequency (%)
0 5804
54.0%
. 3586
33.3%
1 1368
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5804
80.9%
1 1368
 
19.1%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5804
54.0%
. 3586
33.3%
1 1368
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5804
54.0%
. 3586
33.3%
1 1368
 
12.7%

Symptom_Phantom_taste
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
0.0
2989 
1.0
597 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2989
49.5%
1.0 597
 
9.9%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:51.137518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.176355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2989
83.4%
1.0 597
 
16.6%

Most occurring characters

ValueCountFrequency (%)
0 6575
61.1%
. 3586
33.3%
1 597
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6575
91.7%
1 597
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6575
61.1%
. 3586
33.3%
1 597
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6575
61.1%
. 3586
33.3%
1 597
 
5.5%

Symptom_Heightened_smell
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
0.0
3090 
1.0
496 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3090
51.2%
1.0 496
 
8.2%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:51.218068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.256436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3090
86.2%
1.0 496
 
13.8%

Most occurring characters

ValueCountFrequency (%)
0 6676
62.1%
. 3586
33.3%
1 496
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6676
93.1%
1 496
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6676
62.1%
. 3586
33.3%
1 496
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6676
62.1%
. 3586
33.3%
1 496
 
4.6%

Symptom_Heightened_taste
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2449
Missing (%)40.6%
Memory size47.3 KiB
0.0
3400 
1.0
 
186

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10758
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3400
56.3%
1.0 186
 
3.1%
(Missing) 2449
40.6%

Length

2023-09-05T23:32:51.297997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.335959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3400
94.8%
1.0 186
 
5.2%

Most occurring characters

ValueCountFrequency (%)
0 6986
64.9%
. 3586
33.3%
1 186
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7172
66.7%
Other Punctuation 3586
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6986
97.4%
1 186
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 3586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6986
64.9%
. 3586
33.3%
1 186
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6986
64.9%
. 3586
33.3%
1 186
 
1.7%

Symptom_Vibrating_sensations
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2842
Missing (%)47.1%
Memory size47.3 KiB
1.0
2472 
0.0
721 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9579
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2472
41.0%
0.0 721
 
11.9%
(Missing) 2842
47.1%

Length

2023-09-05T23:32:51.376297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.413868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2472
77.4%
0.0 721
 
22.6%

Most occurring characters

ValueCountFrequency (%)
0 3914
40.9%
. 3193
33.3%
1 2472
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6386
66.7%
Other Punctuation 3193
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3914
61.3%
1 2472
38.7%
Other Punctuation
ValueCountFrequency (%)
. 3193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9579
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3914
40.9%
. 3193
33.3%
1 2472
25.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3914
40.9%
. 3193
33.3%
1 2472
25.8%

Symptom_Tremors
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2842
Missing (%)47.1%
Memory size47.3 KiB
1.0
2434 
0.0
759 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9579
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2434
40.3%
0.0 759
 
12.6%
(Missing) 2842
47.1%

Length

2023-09-05T23:32:51.454175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.492002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2434
76.2%
0.0 759
 
23.8%

Most occurring characters

ValueCountFrequency (%)
0 3952
41.3%
. 3193
33.3%
1 2434
25.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6386
66.7%
Other Punctuation 3193
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3952
61.9%
1 2434
38.1%
Other Punctuation
ValueCountFrequency (%)
. 3193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9579
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3952
41.3%
. 3193
33.3%
1 2434
25.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3952
41.3%
. 3193
33.3%
1 2434
25.4%

Symptom_Insomnia
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
1.0
4183 
0.0
762 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4183
69.3%
0.0 762
 
12.6%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:51.533596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.571465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4183
84.6%
0.0 762
 
15.4%

Most occurring characters

ValueCountFrequency (%)
0 5707
38.5%
. 4945
33.3%
1 4183
28.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5707
57.7%
1 4183
42.3%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5707
38.5%
. 4945
33.3%
1 4183
28.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5707
38.5%
. 4945
33.3%
1 4183
28.2%

Symptom_Night_sweats
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
2528 
1.0
2417 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2528
41.9%
1.0 2417
40.0%
(Missing) 1090
18.1%

Length

2023-09-05T23:32:51.611991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.652615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2528
51.1%
1.0 2417
48.9%

Most occurring characters

ValueCountFrequency (%)
0 7473
50.4%
. 4945
33.3%
1 2417
 
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7473
75.6%
1 2417
 
24.4%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7473
50.4%
. 4945
33.3%
1 2417
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7473
50.4%
. 4945
33.3%
1 2417
 
16.3%

Symptom_Awakened_cannot_breathe
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
2948 
1.0
1997 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2948
48.8%
1.0 1997
33.1%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:51.693639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.730451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2948
59.6%
1.0 1997
40.4%

Most occurring characters

ValueCountFrequency (%)
0 7893
53.2%
. 4945
33.3%
1 1997
 
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7893
79.8%
1 1997
 
20.2%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7893
53.2%
. 4945
33.3%
1 1997
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7893
53.2%
. 4945
33.3%
1 1997
 
13.5%

Symptom_Vivid_dreams
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
3009 
1.0
1936 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3009
49.9%
1.0 1936
32.1%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:51.771293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.808004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3009
60.8%
1.0 1936
39.2%

Most occurring characters

ValueCountFrequency (%)
0 7954
53.6%
. 4945
33.3%
1 1936
 
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7954
80.4%
1 1936
 
19.6%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7954
53.6%
. 4945
33.3%
1 1936
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7954
53.6%
. 4945
33.3%
1 1936
 
13.1%

Symptom_Nightmares
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
3490 
1.0
1455 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3490
57.8%
1.0 1455
24.1%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:51.847717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.884364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3490
70.6%
1.0 1455
29.4%

Most occurring characters

ValueCountFrequency (%)
0 8435
56.9%
. 4945
33.3%
1 1455
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8435
85.3%
1 1455
 
14.7%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8435
56.9%
. 4945
33.3%
1 1455
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8435
56.9%
. 4945
33.3%
1 1455
 
9.8%

Symptom_Restless_leg
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
3800 
1.0
1145 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3800
63.0%
1.0 1145
 
19.0%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:51.923001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:51.958433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3800
76.8%
1.0 1145
 
23.2%

Most occurring characters

ValueCountFrequency (%)
0 8745
58.9%
. 4945
33.3%
1 1145
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8745
88.4%
1 1145
 
11.6%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8745
58.9%
. 4945
33.3%
1 1145
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8745
58.9%
. 4945
33.3%
1 1145
 
7.7%

Symptom_Lucid_dreams
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
3999 
1.0
946 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3999
66.3%
1.0 946
 
15.7%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:51.996547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.031374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3999
80.9%
1.0 946
 
19.1%

Most occurring characters

ValueCountFrequency (%)
0 8944
60.3%
. 4945
33.3%
1 946
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8944
90.4%
1 946
 
9.6%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8944
60.3%
. 4945
33.3%
1 946
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8944
60.3%
. 4945
33.3%
1 946
 
6.4%

Symptom_Sleep_apnea
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
0.0
4184 
1.0
761 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4184
69.3%
1.0 761
 
12.6%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:52.070299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.105391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4184
84.6%
1.0 761
 
15.4%

Most occurring characters

ValueCountFrequency (%)
0 9129
61.5%
. 4945
33.3%
1 761
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9129
92.3%
1 761
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9129
61.5%
. 4945
33.3%
1 761
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9129
61.5%
. 4945
33.3%
1 761
 
5.1%

Symptom_Sleep_other
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1090
Missing (%)18.1%
Memory size47.3 KiB
1.0
3189 
0.0
1756 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14835
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3189
52.8%
0.0 1756
29.1%
(Missing) 1090
 
18.1%

Length

2023-09-05T23:32:52.144118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.179070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3189
64.5%
0.0 1756
35.5%

Most occurring characters

ValueCountFrequency (%)
0 6701
45.2%
. 4945
33.3%
1 3189
21.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9890
66.7%
Other Punctuation 4945
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6701
67.8%
1 3189
32.2%
Other Punctuation
ValueCountFrequency (%)
. 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6701
45.2%
. 4945
33.3%
1 3189
21.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6701
45.2%
. 4945
33.3%
1 3189
21.5%

Symptom_Difficulty_falling_asleep
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing2427
Missing (%)40.2%
Memory size47.3 KiB
1.0
2448 
0.0
1160 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10824
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2448
40.6%
0.0 1160
19.2%
(Missing) 2427
40.2%

Length

2023-09-05T23:32:52.218538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.257563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2448
67.8%
0.0 1160
32.2%

Most occurring characters

ValueCountFrequency (%)
0 4768
44.1%
. 3608
33.3%
1 2448
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7216
66.7%
Other Punctuation 3608
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4768
66.1%
1 2448
33.9%
Other Punctuation
ValueCountFrequency (%)
. 3608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4768
44.1%
. 3608
33.3%
1 2448
22.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4768
44.1%
. 3608
33.3%
1 2448
22.6%

Symptom_Waking_up_early
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing2427
Missing (%)40.2%
Memory size47.3 KiB
0.0
2122 
1.0
1486 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10824
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2122
35.2%
1.0 1486
24.6%
(Missing) 2427
40.2%

Length

2023-09-05T23:32:52.298951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.338250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2122
58.8%
1.0 1486
41.2%

Most occurring characters

ValueCountFrequency (%)
0 5730
52.9%
. 3608
33.3%
1 1486
 
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7216
66.7%
Other Punctuation 3608
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5730
79.4%
1 1486
 
20.6%
Other Punctuation
ValueCountFrequency (%)
. 3608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5730
52.9%
. 3608
33.3%
1 1486
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5730
52.9%
. 3608
33.3%
1 1486
 
13.7%

Symptom_Waking_up_in_night
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing2427
Missing (%)40.2%
Memory size47.3 KiB
1.0
2917 
0.0
691 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10824
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2917
48.3%
0.0 691
 
11.4%
(Missing) 2427
40.2%

Length

2023-09-05T23:32:52.379958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.419219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2917
80.8%
0.0 691
 
19.2%

Most occurring characters

ValueCountFrequency (%)
0 4299
39.7%
. 3608
33.3%
1 2917
26.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7216
66.7%
Other Punctuation 3608
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4299
59.6%
1 2917
40.4%
Other Punctuation
ValueCountFrequency (%)
. 3608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4299
39.7%
. 3608
33.3%
1 2917
26.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4299
39.7%
. 3608
33.3%
1 2917
26.9%

Symptom_Hallucinations_visual
Categorical

MISSING 

Distinct2
Distinct (%)0.2%
Missing5089
Missing (%)84.3%
Memory size47.3 KiB
1.0
623 
0.0
323 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2838
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 623
 
10.3%
0.0 323
 
5.4%
(Missing) 5089
84.3%

Length

2023-09-05T23:32:52.459303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.494811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 623
65.9%
0.0 323
34.1%

Most occurring characters

ValueCountFrequency (%)
0 1269
44.7%
. 946
33.3%
1 623
22.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1892
66.7%
Other Punctuation 946
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1269
67.1%
1 623
32.9%
Other Punctuation
ValueCountFrequency (%)
. 946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1269
44.7%
. 946
33.3%
1 623
22.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1269
44.7%
. 946
33.3%
1 623
22.0%

Symptom_Hallucinations_auditory
Categorical

MISSING 

Distinct2
Distinct (%)0.2%
Missing5089
Missing (%)84.3%
Memory size47.3 KiB
0.0
517 
1.0
429 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2838
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 517
 
8.6%
1.0 429
 
7.1%
(Missing) 5089
84.3%

Length

2023-09-05T23:32:52.534723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.571031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 517
54.7%
1.0 429
45.3%

Most occurring characters

ValueCountFrequency (%)
0 1463
51.6%
. 946
33.3%
1 429
 
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1892
66.7%
Other Punctuation 946
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1463
77.3%
1 429
 
22.7%
Other Punctuation
ValueCountFrequency (%)
. 946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1463
51.6%
. 946
33.3%
1 429
 
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1463
51.6%
. 946
33.3%
1 429
 
15.1%

Symptom_Hallucinations_tactile
Categorical

MISSING 

Distinct2
Distinct (%)0.2%
Missing5089
Missing (%)84.3%
Memory size47.3 KiB
0.0
743 
1.0
203 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2838
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 743
 
12.3%
1.0 203
 
3.4%
(Missing) 5089
84.3%

Length

2023-09-05T23:32:52.610747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.646829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 743
78.5%
1.0 203
 
21.5%

Most occurring characters

ValueCountFrequency (%)
0 1689
59.5%
. 946
33.3%
1 203
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1892
66.7%
Other Punctuation 946
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1689
89.3%
1 203
 
10.7%
Other Punctuation
ValueCountFrequency (%)
. 946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1689
59.5%
. 946
33.3%
1 203
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1689
59.5%
. 946
33.3%
1 203
 
7.2%

Symptom_Hallucinations_other
Categorical

MISSING 

Distinct2
Distinct (%)0.2%
Missing5089
Missing (%)84.3%
Memory size47.3 KiB
0.0
805 
1.0
141 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2838
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 805
 
13.3%
1.0 141
 
2.3%
(Missing) 5089
84.3%

Length

2023-09-05T23:32:52.686663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.723799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 805
85.1%
1.0 141
 
14.9%

Most occurring characters

ValueCountFrequency (%)
0 1751
61.7%
. 946
33.3%
1 141
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1892
66.7%
Other Punctuation 946
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1751
92.5%
1 141
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1751
61.7%
. 946
33.3%
1 141
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1751
61.7%
. 946
33.3%
1 141
 
5.0%

Symptom_Sensations_skin_burning_no_rash
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
1.0
2760 
0.0
2124 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2760
45.7%
0.0 2124
35.2%
(Missing) 1151
19.1%

Length

2023-09-05T23:32:52.763563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.800066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2760
56.5%
0.0 2124
43.5%

Most occurring characters

ValueCountFrequency (%)
0 7008
47.8%
. 4884
33.3%
1 2760
 
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7008
71.7%
1 2760
 
28.3%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7008
47.8%
. 4884
33.3%
1 2760
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7008
47.8%
. 4884
33.3%
1 2760
 
18.8%

Symptom_Sensations_numbness_loss_sensation
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
2699 
1.0
2185 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2699
44.7%
1.0 2185
36.2%
(Missing) 1151
19.1%

Length

2023-09-05T23:32:52.841412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:52.877650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2699
55.3%
1.0 2185
44.7%

Most occurring characters

ValueCountFrequency (%)
0 7583
51.8%
. 4884
33.3%
1 2185
 
14.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7583
77.6%
1 2185
 
22.4%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7583
51.8%
. 4884
33.3%
1 2185
 
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7583
51.8%
. 4884
33.3%
1 2185
 
14.9%

Symptom_Sensations_numbness_one_sided_weakness
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
4111 
1.0
773 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4111
68.1%
1.0 773
 
12.8%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.093168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.129740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4111
84.2%
1.0 773
 
15.8%

Most occurring characters

ValueCountFrequency (%)
0 8995
61.4%
. 4884
33.3%
1 773
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8995
92.1%
1 773
 
7.9%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8995
61.4%
. 4884
33.3%
1 773
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8995
61.4%
. 4884
33.3%
1 773
 
5.3%

Symptom_Sensations_coldness
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
2757 
1.0
2127 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2757
45.7%
1.0 2127
35.2%
(Missing) 1151
19.1%

Length

2023-09-05T23:32:53.168738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.205063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2757
56.4%
1.0 2127
43.6%

Most occurring characters

ValueCountFrequency (%)
0 7641
52.1%
. 4884
33.3%
1 2127
 
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7641
78.2%
1 2127
 
21.8%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7641
52.1%
. 4884
33.3%
1 2127
 
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7641
52.1%
. 4884
33.3%
1 2127
 
14.5%

Symptom_Sensations_tingling_prickling
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
1.0
2902 
0.0
1982 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2902
48.1%
0.0 1982
32.8%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.244864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.282120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2902
59.4%
0.0 1982
40.6%

Most occurring characters

ValueCountFrequency (%)
0 6866
46.9%
. 4884
33.3%
1 2902
19.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6866
70.3%
1 2902
29.7%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6866
46.9%
. 4884
33.3%
1 2902
19.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6866
46.9%
. 4884
33.3%
1 2902
19.8%

Symptom_Sensations_electrical_zaps
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
3370 
1.0
1514 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3370
55.8%
1.0 1514
25.1%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.321951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.359031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3370
69.0%
1.0 1514
31.0%

Most occurring characters

ValueCountFrequency (%)
0 8254
56.3%
. 4884
33.3%
1 1514
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8254
84.5%
1 1514
 
15.5%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8254
56.3%
. 4884
33.3%
1 1514
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8254
56.3%
. 4884
33.3%
1 1514
 
10.3%

Symptom_Sensations_weakness
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
1.0
2789 
0.0
2095 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2789
46.2%
0.0 2095
34.7%
(Missing) 1151
19.1%

Length

2023-09-05T23:32:53.399190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.436657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2789
57.1%
0.0 2095
42.9%

Most occurring characters

ValueCountFrequency (%)
0 6979
47.6%
. 4884
33.3%
1 2789
 
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6979
71.4%
1 2789
 
28.6%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6979
47.6%
. 4884
33.3%
1 2789
 
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6979
47.6%
. 4884
33.3%
1 2789
 
19.0%

Symptom_Sensations_facial_pressure_left
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
4406 
1.0
478 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4406
73.0%
1.0 478
 
7.9%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.477057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.512434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4406
90.2%
1.0 478
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0 9290
63.4%
. 4884
33.3%
1 478
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9290
95.1%
1 478
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9290
63.4%
. 4884
33.3%
1 478
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9290
63.4%
. 4884
33.3%
1 478
 
3.3%

Symptom_Sensations_facial_pressure_right
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
4474 
1.0
 
410

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4474
74.1%
1.0 410
 
6.8%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.551308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.586762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4474
91.6%
1.0 410
 
8.4%

Most occurring characters

ValueCountFrequency (%)
0 9358
63.9%
. 4884
33.3%
1 410
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9358
95.8%
1 410
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9358
63.9%
. 4884
33.3%
1 410
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9358
63.9%
. 4884
33.3%
1 410
 
2.8%

Symptom_Sensations_facial_pressure_other
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
4521 
1.0
 
363

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4521
74.9%
1.0 363
 
6.0%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.625103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.660202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4521
92.6%
1.0 363
 
7.4%

Most occurring characters

ValueCountFrequency (%)
0 9405
64.2%
. 4884
33.3%
1 363
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9405
96.3%
1 363
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9405
64.2%
. 4884
33.3%
1 363
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9405
64.2%
. 4884
33.3%
1 363
 
2.5%

Symptom_Sensations_facial_paralysis
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
4691 
1.0
 
193

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4691
77.7%
1.0 193
 
3.2%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.697548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.733057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4691
96.0%
1.0 193
 
4.0%

Most occurring characters

ValueCountFrequency (%)
0 9575
65.3%
. 4884
33.3%
1 193
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9575
98.0%
1 193
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9575
65.3%
. 4884
33.3%
1 193
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9575
65.3%
. 4884
33.3%
1 193
 
1.3%

Symptom_Temp_lability
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1921
Missing (%)31.8%
Memory size47.3 KiB
1.0
2288 
0.0
1826 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12342
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2288
37.9%
0.0 1826
30.3%
(Missing) 1921
31.8%

Length

2023-09-05T23:32:53.770222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.810071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2288
55.6%
0.0 1826
44.4%

Most occurring characters

ValueCountFrequency (%)
0 5940
48.1%
. 4114
33.3%
1 2288
 
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8228
66.7%
Other Punctuation 4114
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5940
72.2%
1 2288
 
27.8%
Other Punctuation
ValueCountFrequency (%)
. 4114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12342
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5940
48.1%
. 4114
33.3%
1 2288
 
18.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12342
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5940
48.1%
. 4114
33.3%
1 2288
 
18.5%

Symptom_Heat_intolerance
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
3357 
1.0
1527 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3357
55.6%
1.0 1527
25.3%
(Missing) 1151
 
19.1%

Length

2023-09-05T23:32:53.852642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.888797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3357
68.7%
1.0 1527
31.3%

Most occurring characters

ValueCountFrequency (%)
0 8241
56.2%
. 4884
33.3%
1 1527
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8241
84.4%
1 1527
 
15.6%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8241
56.2%
. 4884
33.3%
1 1527
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8241
56.2%
. 4884
33.3%
1 1527
 
10.4%

Symptom_Merged_temperature_other_temp_issues
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1151
Missing (%)19.1%
Memory size47.3 KiB
0.0
2810 
1.0
2074 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14652
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2810
46.6%
1.0 2074
34.4%
(Missing) 1151
19.1%

Length

2023-09-05T23:32:53.929027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:53.965388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2810
57.5%
1.0 2074
42.5%

Most occurring characters

ValueCountFrequency (%)
0 7694
52.5%
. 4884
33.3%
1 2074
 
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9768
66.7%
Other Punctuation 4884
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7694
78.8%
1 2074
 
21.2%
Other Punctuation
ValueCountFrequency (%)
. 4884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7694
52.5%
. 4884
33.3%
1 2074
 
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7694
52.5%
. 4884
33.3%
1 2074
 
14.2%

Symptom_Elevated_temp
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3321 
0
2714 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3321
55.0%
0 2714
45.0%

Length

2023-09-05T23:32:54.007117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.045616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3321
55.0%
0 2714
45.0%

Most occurring characters

ValueCountFrequency (%)
1 3321
55.0%
0 2714
45.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3321
55.0%
0 2714
45.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3321
55.0%
0 2714
45.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3321
55.0%
0 2714
45.0%

Symptom_Fever
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4231 
1
1804 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4231
70.1%
1 1804
29.9%

Length

2023-09-05T23:32:54.086777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.125391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4231
70.1%
1 1804
29.9%

Most occurring characters

ValueCountFrequency (%)
0 4231
70.1%
1 1804
29.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4231
70.1%
1 1804
29.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4231
70.1%
1 1804
29.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4231
70.1%
1 1804
29.9%

Symptom_Low_temp
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4863 
1
1172 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4863
80.6%
1 1172
 
19.4%

Length

2023-09-05T23:32:54.167193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.206719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4863
80.6%
1 1172
 
19.4%

Most occurring characters

ValueCountFrequency (%)
0 4863
80.6%
1 1172
 
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4863
80.6%
1 1172
 
19.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4863
80.6%
1 1172
 
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4863
80.6%
1 1172
 
19.4%

Symptom_Chills_flushing_sweats
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3276 
0
2759 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3276
54.3%
0 2759
45.7%

Length

2023-09-05T23:32:54.247706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.285500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3276
54.3%
0 2759
45.7%

Most occurring characters

ValueCountFrequency (%)
1 3276
54.3%
0 2759
45.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3276
54.3%
0 2759
45.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3276
54.3%
0 2759
45.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3276
54.3%
0 2759
45.7%

Symptom_Tachycardia
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3573 
0
2462 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Length

2023-09-05T23:32:54.325540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.362890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring characters

ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Symptom_Bradycardia
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5044 
1
991 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Length

2023-09-05T23:32:54.403440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.440572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring characters

ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Symptom_Heart_palpitations
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3961 
0
2074 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Length

2023-09-05T23:32:54.480830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.518456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring characters

ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Symptom_Bulging_veins
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5041 
1
994 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Length

2023-09-05T23:32:54.558839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.597384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring characters

ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Symptom_Fainting
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5264 
1
771 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Length

2023-09-05T23:32:54.638989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.678037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring characters

ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Symptom_Dizziness_vertigo
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4069 
0
1966 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4069
67.4%
0 1966
32.6%

Length

2023-09-05T23:32:54.720705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.759491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4069
67.4%
0 1966
32.6%

Most occurring characters

ValueCountFrequency (%)
1 4069
67.4%
0 1966
32.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4069
67.4%
0 1966
32.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4069
67.4%
0 1966
32.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4069
67.4%
0 1966
32.6%

Symptom_Neuralgia
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4137 
1
1898 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4137
68.6%
1 1898
31.4%

Length

2023-09-05T23:32:54.801470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.839890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4137
68.6%
1 1898
31.4%

Most occurring characters

ValueCountFrequency (%)
0 4137
68.6%
1 1898
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4137
68.6%
1 1898
31.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4137
68.6%
1 1898
31.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4137
68.6%
1 1898
31.4%

Symptom_Gasping_air_normal_oxygen
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3420 
0
2615 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3420
56.7%
0 2615
43.3%

Length

2023-09-05T23:32:54.881962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:54.920669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3420
56.7%
0 2615
43.3%

Most occurring characters

ValueCountFrequency (%)
1 3420
56.7%
0 2615
43.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3420
56.7%
0 2615
43.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3420
56.7%
0 2615
43.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3420
56.7%
0 2615
43.3%

Symptom_New_anaphylaxis
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5776 
1
 
259

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Length

2023-09-05T23:32:54.962551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.001169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Symptom_Acute_confusion
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4866 
1
1169 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4866
80.6%
1 1169
 
19.4%

Length

2023-09-05T23:32:55.042282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.080403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4866
80.6%
1 1169
 
19.4%

Most occurring characters

ValueCountFrequency (%)
0 4866
80.6%
1 1169
 
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4866
80.6%
1 1169
 
19.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4866
80.6%
1 1169
 
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4866
80.6%
1 1169
 
19.4%

Symptom_Slurring_words
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5028 
1
1007 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Length

2023-09-05T23:32:55.120990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.159125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring characters

ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Symptom_Constipation
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4476 
1
1559 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4476
74.2%
1 1559
 
25.8%

Length

2023-09-05T23:32:55.199354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.237025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4476
74.2%
1 1559
 
25.8%

Most occurring characters

ValueCountFrequency (%)
0 4476
74.2%
1 1559
 
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4476
74.2%
1 1559
 
25.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4476
74.2%
1 1559
 
25.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4476
74.2%
1 1559
 
25.8%

Symptom_Diarrhea
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3332 
0
2703 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3332
55.2%
0 2703
44.8%

Length

2023-09-05T23:32:55.277170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.314393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3332
55.2%
0 2703
44.8%

Most occurring characters

ValueCountFrequency (%)
1 3332
55.2%
0 2703
44.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3332
55.2%
0 2703
44.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3332
55.2%
0 2703
44.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3332
55.2%
0 2703
44.8%

Symptom_Vomiting
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5131 
1
904 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Length

2023-09-05T23:32:55.355302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.393093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring characters

ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Symptom_Nausea
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3232 
1
2803 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3232
53.6%
1 2803
46.4%

Length

2023-09-05T23:32:55.433775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.471503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3232
53.6%
1 2803
46.4%

Most occurring characters

ValueCountFrequency (%)
0 3232
53.6%
1 2803
46.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3232
53.6%
1 2803
46.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3232
53.6%
1 2803
46.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3232
53.6%
1 2803
46.4%

Symptom_Loss_of_appetite
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3019 
1
3016 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3019
50.0%
1 3016
50.0%

Length

2023-09-05T23:32:55.512831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.552616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3019
50.0%
1 3016
50.0%

Most occurring characters

ValueCountFrequency (%)
0 3019
50.0%
1 3016
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3019
50.0%
1 3016
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3019
50.0%
1 3016
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3019
50.0%
1 3016
50.0%

Symptom_Acid_reflux
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3972 
1
2063 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3972
65.8%
1 2063
34.2%

Length

2023-09-05T23:32:55.594939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.635378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3972
65.8%
1 2063
34.2%

Most occurring characters

ValueCountFrequency (%)
0 3972
65.8%
1 2063
34.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3972
65.8%
1 2063
34.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3972
65.8%
1 2063
34.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3972
65.8%
1 2063
34.2%

Symptom_Dry_cough
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3841 
0
2194 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3841
63.6%
0 2194
36.4%

Length

2023-09-05T23:32:55.676726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.715760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3841
63.6%
0 2194
36.4%

Most occurring characters

ValueCountFrequency (%)
1 3841
63.6%
0 2194
36.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3841
63.6%
0 2194
36.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3841
63.6%
0 2194
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3841
63.6%
0 2194
36.4%

Symptom_Cough_with_mucus
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4279 
1
1756 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Length

2023-09-05T23:32:55.758100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.797691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring characters

ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Symptom_Coughing_up_blood
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5746 
1
 
289

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Length

2023-09-05T23:32:55.841249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.879801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring characters

ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Symptom_Shortness_of_breath
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4450 
0
1585 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4450
73.7%
0 1585
 
26.3%

Length

2023-09-05T23:32:55.920473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:55.957905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4450
73.7%
0 1585
 
26.3%

Most occurring characters

ValueCountFrequency (%)
1 4450
73.7%
0 1585
 
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4450
73.7%
0 1585
 
26.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4450
73.7%
0 1585
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4450
73.7%
0 1585
 
26.3%

Symptom_Tightness_of_chest
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4106 
0
1929 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4106
68.0%
0 1929
32.0%

Length

2023-09-05T23:32:55.998333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.035984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4106
68.0%
0 1929
32.0%

Most occurring characters

ValueCountFrequency (%)
1 4106
68.0%
0 1929
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4106
68.0%
0 1929
32.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4106
68.0%
0 1929
32.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4106
68.0%
0 1929
32.0%

Symptom_Sneezing
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4385 
1
1650 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Length

2023-09-05T23:32:56.076113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.113935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring characters

ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Symptom_Runny_nose
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4056 
1
1979 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Length

2023-09-05T23:32:56.154615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.192779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring characters

ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Symptom_Pain_burning_chest
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3180 
1
2855 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3180
52.7%
1 2855
47.3%

Length

2023-09-05T23:32:56.234615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.273673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3180
52.7%
1 2855
47.3%

Most occurring characters

ValueCountFrequency (%)
0 3180
52.7%
1 2855
47.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3180
52.7%
1 2855
47.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3180
52.7%
1 2855
47.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3180
52.7%
1 2855
47.3%

Symptom_Rattling_breath
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4979 
1
1056 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Length

2023-09-05T23:32:56.316612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.355716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring characters

ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Symptom_Sore_throat
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3330 
0
2705 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3330
55.2%
0 2705
44.8%

Length

2023-09-05T23:32:56.398017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.437487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3330
55.2%
0 2705
44.8%

Most occurring characters

ValueCountFrequency (%)
1 3330
55.2%
0 2705
44.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3330
55.2%
0 2705
44.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3330
55.2%
0 2705
44.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3330
55.2%
0 2705
44.8%

Symptom_Respiratory_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5515 
1
 
520

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5515
91.4%
1 520
 
8.6%

Length

2023-09-05T23:32:56.479264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.518676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5515
91.4%
1 520
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0 5515
91.4%
1 520
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5515
91.4%
1 520
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5515
91.4%
1 520
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5515
91.4%
1 520
 
8.6%

Symptom_Hearing_loss
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5449 
1
586 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5449
90.3%
1 586
 
9.7%

Length

2023-09-05T23:32:56.560453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.599389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5449
90.3%
1 586
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0 5449
90.3%
1 586
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5449
90.3%
1 586
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5449
90.3%
1 586
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5449
90.3%
1 586
 
9.7%

Symptom_Tinnitus
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3973 
1
2062 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3973
65.8%
1 2062
34.2%

Length

2023-09-05T23:32:56.639818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.677554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3973
65.8%
1 2062
34.2%

Most occurring characters

ValueCountFrequency (%)
0 3973
65.8%
1 2062
34.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3973
65.8%
1 2062
34.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3973
65.8%
1 2062
34.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3973
65.8%
1 2062
34.2%

Symptom_Eye_vision_symptoms
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3937 
1
2098 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3937
65.2%
1 2098
34.8%

Length

2023-09-05T23:32:56.717730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.755045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3937
65.2%
1 2098
34.8%

Most occurring characters

ValueCountFrequency (%)
0 3937
65.2%
1 2098
34.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3937
65.2%
1 2098
34.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3937
65.2%
1 2098
34.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3937
65.2%
1 2098
34.8%

Symptom_Reproductive_all_menstrual_issues
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4922 
1
1113 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4922
81.6%
1 1113
 
18.4%

Length

2023-09-05T23:32:56.795779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.833059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4922
81.6%
1 1113
 
18.4%

Most occurring characters

ValueCountFrequency (%)
0 4922
81.6%
1 1113
 
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4922
81.6%
1 1113
 
18.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4922
81.6%
1 1113
 
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4922
81.6%
1 1113
 
18.4%

Symptom_Bladder_control
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5085 
1
950 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5085
84.3%
1 950
 
15.7%

Length

2023-09-05T23:32:56.873899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.911389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5085
84.3%
1 950
 
15.7%

Most occurring characters

ValueCountFrequency (%)
0 5085
84.3%
1 950
 
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5085
84.3%
1 950
 
15.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5085
84.3%
1 950
 
15.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5085
84.3%
1 950
 
15.7%

Symptom_Peeling_skin
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5273 
1
762 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5273
87.4%
1 762
 
12.6%

Length

2023-09-05T23:32:56.951945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:56.989914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5273
87.4%
1 762
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 5273
87.4%
1 762
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5273
87.4%
1 762
 
12.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5273
87.4%
1 762
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5273
87.4%
1 762
 
12.6%

Symptom_Petechiae
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5047 
1
988 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5047
83.6%
1 988
 
16.4%

Length

2023-09-05T23:32:57.030604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.305388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5047
83.6%
1 988
 
16.4%

Most occurring characters

ValueCountFrequency (%)
0 5047
83.6%
1 988
 
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5047
83.6%
1 988
 
16.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5047
83.6%
1 988
 
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5047
83.6%
1 988
 
16.4%

Symptom_Covid_toes
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5257 
1
778 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Length

2023-09-05T23:32:57.347108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.385549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring characters

ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Symptom_Dermatographia
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5550 
1
 
485

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Length

2023-09-05T23:32:57.426440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.463731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Symptom_New_allergies
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5494 
1
 
541

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5494
91.0%
1 541
 
9.0%

Length

2023-09-05T23:32:57.504410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.541975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5494
91.0%
1 541
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0 5494
91.0%
1 541
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5494
91.0%
1 541
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5494
91.0%
1 541
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5494
91.0%
1 541
 
9.0%

Symptom_Skin_rashes
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4445 
1
1590 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4445
73.7%
1 1590
 
26.3%

Length

2023-09-05T23:32:57.582450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.619817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4445
73.7%
1 1590
 
26.3%

Most occurring characters

ValueCountFrequency (%)
0 4445
73.7%
1 1590
 
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4445
73.7%
1 1590
 
26.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4445
73.7%
1 1590
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4445
73.7%
1 1590
 
26.3%

Symptom_Skin_Allergy_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5458 
1
577 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5458
90.4%
1 577
 
9.6%

Length

2023-09-05T23:32:57.660588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.697615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5458
90.4%
1 577
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0 5458
90.4%
1 577
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5458
90.4%
1 577
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5458
90.4%
1 577
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5458
90.4%
1 577
 
9.6%

Symptom_Muscle_spasms
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4014 
1
2021 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4014
66.5%
1 2021
33.5%

Length

2023-09-05T23:32:57.737957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.775060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4014
66.5%
1 2021
33.5%

Most occurring characters

ValueCountFrequency (%)
0 4014
66.5%
1 2021
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4014
66.5%
1 2021
33.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4014
66.5%
1 2021
33.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4014
66.5%
1 2021
33.5%

Symptom_Muscle_aches
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4098 
0
1937 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4098
67.9%
0 1937
32.1%

Length

2023-09-05T23:32:57.815369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.852998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4098
67.9%
0 1937
32.1%

Most occurring characters

ValueCountFrequency (%)
1 4098
67.9%
0 1937
32.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4098
67.9%
0 1937
32.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4098
67.9%
0 1937
32.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4098
67.9%
0 1937
32.1%

Symptom_Joint_pain
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3307 
0
2728 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 3307
54.8%
0 2728
45.2%

Length

2023-09-05T23:32:57.893136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:57.930735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3307
54.8%
0 2728
45.2%

Most occurring characters

ValueCountFrequency (%)
1 3307
54.8%
0 2728
45.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3307
54.8%
0 2728
45.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3307
54.8%
0 2728
45.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3307
54.8%
0 2728
45.2%

Symptom_Bone_ache_burning
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4518 
1
1517 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4518
74.9%
1 1517
 
25.1%

Length

2023-09-05T23:32:57.970772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.008376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4518
74.9%
1 1517
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4518
74.9%
1 1517
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4518
74.9%
1 1517
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4518
74.9%
1 1517
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4518
74.9%
1 1517
 
25.1%

Symptom_Extreme_thirst
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2105
Missing (%)34.9%
Memory size47.3 KiB
1.0
1975 
0.0
1955 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11790
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 1975
32.7%
0.0 1955
32.4%
(Missing) 2105
34.9%

Length

2023-09-05T23:32:58.047187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.084280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1975
50.3%
0.0 1955
49.7%

Most occurring characters

ValueCountFrequency (%)
0 5885
49.9%
. 3930
33.3%
1 1975
 
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
66.7%
Other Punctuation 3930
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5885
74.9%
1 1975
 
25.1%
Other Punctuation
ValueCountFrequency (%)
. 3930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5885
49.9%
. 3930
33.3%
1 1975
 
16.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5885
49.9%
. 3930
33.3%
1 1975
 
16.8%

Symptom_Difficulty_swallowing
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2105
Missing (%)34.9%
Memory size47.3 KiB
0.0
2086 
1.0
1844 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11790
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2086
34.6%
1.0 1844
30.6%
(Missing) 2105
34.9%

Length

2023-09-05T23:32:58.124294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.161551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2086
53.1%
1.0 1844
46.9%

Most occurring characters

ValueCountFrequency (%)
0 6016
51.0%
. 3930
33.3%
1 1844
 
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
66.7%
Other Punctuation 3930
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6016
76.5%
1 1844
 
23.5%
Other Punctuation
ValueCountFrequency (%)
. 3930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6016
51.0%
. 3930
33.3%
1 1844
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6016
51.0%
. 3930
33.3%
1 1844
 
15.6%

Symptom_Changes_in_voice
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2105
Missing (%)34.9%
Memory size47.3 KiB
0.0
2419 
1.0
1511 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11790
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2419
40.1%
1.0 1511
25.0%
(Missing) 2105
34.9%

Length

2023-09-05T23:32:58.202287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.239711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2419
61.6%
1.0 1511
38.4%

Most occurring characters

ValueCountFrequency (%)
0 6349
53.9%
. 3930
33.3%
1 1511
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
66.7%
Other Punctuation 3930
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6349
80.8%
1 1511
 
19.2%
Other Punctuation
ValueCountFrequency (%)
. 3930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6349
53.9%
. 3930
33.3%
1 1511
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6349
53.9%
. 3930
33.3%
1 1511
 
12.8%

Symptom_Inability_to_yawn
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2105
Missing (%)34.9%
Memory size47.3 KiB
0.0
3604 
1.0
 
326

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11790
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3604
59.7%
1.0 326
 
5.4%
(Missing) 2105
34.9%

Length

2023-09-05T23:32:58.279462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.317553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3604
91.7%
1.0 326
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0 7534
63.9%
. 3930
33.3%
1 326
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
66.7%
Other Punctuation 3930
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7534
95.9%
1 326
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 3930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7534
63.9%
. 3930
33.3%
1 326
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7534
63.9%
. 3930
33.3%
1 326
 
2.8%

Symptom_inability_to_cry
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2105
Missing (%)34.9%
Memory size47.3 KiB
0.0
3627 
1.0
 
303

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11790
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3627
60.1%
1.0 303
 
5.0%
(Missing) 2105
34.9%

Length

2023-09-05T23:32:58.357707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.395409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3627
92.3%
1.0 303
 
7.7%

Most occurring characters

ValueCountFrequency (%)
0 7557
64.1%
. 3930
33.3%
1 303
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
66.7%
Other Punctuation 3930
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7557
96.1%
1 303
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 3930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7557
64.1%
. 3930
33.3%
1 303
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7557
64.1%
. 3930
33.3%
1 303
 
2.6%

Symptom_coughing_up_blood
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2105
Missing (%)34.9%
Memory size47.3 KiB
0.0
3734 
1.0
 
196

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11790
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3734
61.9%
1.0 196
 
3.2%
(Missing) 2105
34.9%

Length

2023-09-05T23:32:58.434188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.471532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3734
95.0%
1.0 196
 
5.0%

Most occurring characters

ValueCountFrequency (%)
0 7664
65.0%
. 3930
33.3%
1 196
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
66.7%
Other Punctuation 3930
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7664
97.5%
1 196
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 3930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7664
65.0%
. 3930
33.3%
1 196
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7664
65.0%
. 3930
33.3%
1 196
 
1.7%

Symptom_Ear_sensitivity_to_noise
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2619
Missing (%)43.4%
Memory size47.3 KiB
1.0
2118 
0.0
1298 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10248
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2118
35.1%
0.0 1298
21.5%
(Missing) 2619
43.4%

Length

2023-09-05T23:32:58.512006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.549687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2118
62.0%
0.0 1298
38.0%

Most occurring characters

ValueCountFrequency (%)
0 4714
46.0%
. 3416
33.3%
1 2118
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6832
66.7%
Other Punctuation 3416
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4714
69.0%
1 2118
31.0%
Other Punctuation
ValueCountFrequency (%)
. 3416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4714
46.0%
. 3416
33.3%
1 2118
20.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4714
46.0%
. 3416
33.3%
1 2118
20.7%

Symptom_Ear_ear_pain
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2619
Missing (%)43.4%
Memory size47.3 KiB
0.0
1926 
1.0
1490 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10248
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 1926
31.9%
1.0 1490
24.7%
(Missing) 2619
43.4%

Length

2023-09-05T23:32:58.590921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.628615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1926
56.4%
1.0 1490
43.6%

Most occurring characters

ValueCountFrequency (%)
0 5342
52.1%
. 3416
33.3%
1 1490
 
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6832
66.7%
Other Punctuation 3416
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5342
78.2%
1 1490
 
21.8%
Other Punctuation
ValueCountFrequency (%)
. 3416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5342
52.1%
. 3416
33.3%
1 1490
 
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5342
52.1%
. 3416
33.3%
1 1490
 
14.5%

Symptom_Ear_changes_to_ear_canal
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2619
Missing (%)43.4%
Memory size47.3 KiB
0.0
2115 
1.0
1301 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10248
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2115
35.0%
1.0 1301
21.6%
(Missing) 2619
43.4%

Length

2023-09-05T23:32:58.670353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.708148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2115
61.9%
1.0 1301
38.1%

Most occurring characters

ValueCountFrequency (%)
0 5531
54.0%
. 3416
33.3%
1 1301
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6832
66.7%
Other Punctuation 3416
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5531
81.0%
1 1301
 
19.0%
Other Punctuation
ValueCountFrequency (%)
. 3416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5531
54.0%
. 3416
33.3%
1 1301
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5531
54.0%
. 3416
33.3%
1 1301
 
12.7%

Symptom_Ear_numbness
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2619
Missing (%)43.4%
Memory size47.3 KiB
0.0
3118 
1.0
 
298

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10248
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3118
51.7%
1.0 298
 
4.9%
(Missing) 2619
43.4%

Length

2023-09-05T23:32:58.749020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.787184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3118
91.3%
1.0 298
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0 6534
63.8%
. 3416
33.3%
1 298
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6832
66.7%
Other Punctuation 3416
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6534
95.6%
1 298
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 3416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6534
63.8%
. 3416
33.3%
1 298
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6534
63.8%
. 3416
33.3%
1 298
 
2.9%

Symptom_Other_ear_hearing_symptoms
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2619
Missing (%)43.4%
Memory size47.3 KiB
0.0
2164 
1.0
1252 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10248
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2164
35.9%
1.0 1252
20.7%
(Missing) 2619
43.4%

Length

2023-09-05T23:32:58.827938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.865996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2164
63.3%
1.0 1252
36.7%

Most occurring characters

ValueCountFrequency (%)
0 5580
54.4%
. 3416
33.3%
1 1252
 
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6832
66.7%
Other Punctuation 3416
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5580
81.7%
1 1252
 
18.3%
Other Punctuation
ValueCountFrequency (%)
. 3416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5580
54.4%
. 3416
33.3%
1 1252
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5580
54.4%
. 3416
33.3%
1 1252
 
12.2%

Symptom_Eye_Vision_blurred_vision
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3796 
1.0
2239 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3796
62.9%
1.0 2239
37.1%

Length

2023-09-05T23:32:58.906142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:58.943816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3796
62.9%
1.0 2239
37.1%

Most occurring characters

ValueCountFrequency (%)
0 9831
54.3%
. 6035
33.3%
1 2239
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9831
81.4%
1 2239
 
18.6%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9831
54.3%
. 6035
33.3%
1 2239
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9831
54.3%
. 6035
33.3%
1 2239
 
12.4%

Symptom_Eye_Vision_sensitivity_to_light
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4141 
1.0
1894 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4141
68.6%
1.0 1894
31.4%

Length

2023-09-05T23:32:58.983996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.021139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4141
68.6%
1.0 1894
31.4%

Most occurring characters

ValueCountFrequency (%)
0 10176
56.2%
. 6035
33.3%
1 1894
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10176
84.3%
1 1894
 
15.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10176
56.2%
. 6035
33.3%
1 1894
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10176
56.2%
. 6035
33.3%
1 1894
 
10.5%

Symptom_Eye_Vision_dry_eyes
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4298 
1.0
1737 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 4298
71.2%
1.0 1737
28.8%

Length

2023-09-05T23:32:59.061624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.098897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4298
71.2%
1.0 1737
28.8%

Most occurring characters

ValueCountFrequency (%)
0 10333
57.1%
. 6035
33.3%
1 1737
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10333
85.6%
1 1737
 
14.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10333
57.1%
. 6035
33.3%
1 1737
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10333
57.1%
. 6035
33.3%
1 1737
 
9.6%

Symptom_Eye_Vision_eye_pressure_pain
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4470 
1.0
1565 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4470
74.1%
1.0 1565
 
25.9%

Length

2023-09-05T23:32:59.139615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.176877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4470
74.1%
1.0 1565
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 10505
58.0%
. 6035
33.3%
1 1565
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10505
87.0%
1 1565
 
13.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10505
58.0%
. 6035
33.3%
1 1565
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10505
58.0%
. 6035
33.3%
1 1565
 
8.6%

Symptom_Eye_Vision_floaters
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4805 
1.0
1230 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4805
79.6%
1.0 1230
 
20.4%

Length

2023-09-05T23:32:59.217505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.254760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4805
79.6%
1.0 1230
 
20.4%

Most occurring characters

ValueCountFrequency (%)
0 10840
59.9%
. 6035
33.3%
1 1230
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10840
89.8%
1 1230
 
10.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10840
59.9%
. 6035
33.3%
1 1230
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10840
59.9%
. 6035
33.3%
1 1230
 
6.8%

Symptom_Eye_Vision_double_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5555 
1.0
 
480

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5555
92.0%
1.0 480
 
8.0%

Length

2023-09-05T23:32:59.295020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.332352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5555
92.0%
1.0 480
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 11590
64.0%
. 6035
33.3%
1 480
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11590
96.0%
1 480
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11590
64.0%
. 6035
33.3%
1 480
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11590
64.0%
. 6035
33.3%
1 480
 
2.7%

Symptom_Eye_Vision_tunnel_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5804 
1.0
 
231

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5804
96.2%
1.0 231
 
3.8%

Length

2023-09-05T23:32:59.371921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.409233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5804
96.2%
1.0 231
 
3.8%

Most occurring characters

ValueCountFrequency (%)
0 11839
65.4%
. 6035
33.3%
1 231
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11839
98.1%
1 231
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11839
65.4%
. 6035
33.3%
1 231
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11839
65.4%
. 6035
33.3%
1 231
 
1.3%

Symptom_Eye_Vision_loss_of_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5968 
1.0
 
67

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5968
98.9%
1.0 67
 
1.1%

Length

2023-09-05T23:32:59.448540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.485466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5968
98.9%
1.0 67
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 12003
66.3%
. 6035
33.3%
1 67
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12003
99.4%
1 67
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12003
66.3%
. 6035
33.3%
1 67
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12003
66.3%
. 6035
33.3%
1 67
 
0.4%

Symptom_Eye_Vision_pink_eye
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5269 
1.0
766 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 5269
87.3%
1.0 766
 
12.7%

Length

2023-09-05T23:32:59.525098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.562275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5269
87.3%
1.0 766
 
12.7%

Most occurring characters

ValueCountFrequency (%)
0 11304
62.4%
. 6035
33.3%
1 766
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11304
93.7%
1 766
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11304
62.4%
. 6035
33.3%
1 766
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11304
62.4%
. 6035
33.3%
1 766
 
4.2%

Symptom_Eye_Vision_bloodshot_eyes
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5183 
1.0
852 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 5183
85.9%
1.0 852
 
14.1%

Length

2023-09-05T23:32:59.602907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.640251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5183
85.9%
1.0 852
 
14.1%

Most occurring characters

ValueCountFrequency (%)
0 11218
62.0%
. 6035
33.3%
1 852
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11218
92.9%
1 852
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11218
62.0%
. 6035
33.3%
1 852
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11218
62.0%
. 6035
33.3%
1 852
 
4.7%

Symptom_Eye_Vision_redness_outside_eye
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5533 
1.0
 
502

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 5533
91.7%
1.0 502
 
8.3%

Length

2023-09-05T23:32:59.680891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.718161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5533
91.7%
1.0 502
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0 11568
63.9%
. 6035
33.3%
1 502
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11568
95.8%
1 502
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11568
63.9%
. 6035
33.3%
1 502
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11568
63.9%
. 6035
33.3%
1 502
 
2.8%

Symptom_Eye_Vision_seeing_things_peripheral_vision
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5229 
1.0
806 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5229
86.6%
1.0 806
 
13.4%

Length

2023-09-05T23:32:59.758187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.795783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5229
86.6%
1.0 806
 
13.4%

Most occurring characters

ValueCountFrequency (%)
0 11264
62.2%
. 6035
33.3%
1 806
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11264
93.3%
1 806
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11264
62.2%
. 6035
33.3%
1 806
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11264
62.2%
. 6035
33.3%
1 806
 
4.5%

Symptom_Eye_Vision_other_eye_issues
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4517 
1.0
1518 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4517
74.8%
1.0 1518
 
25.2%

Length

2023-09-05T23:32:59.836038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.873902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4517
74.8%
1.0 1518
 
25.2%

Most occurring characters

ValueCountFrequency (%)
0 10552
58.3%
. 6035
33.3%
1 1518
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10552
87.4%
1 1518
 
12.6%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10552
58.3%
. 6035
33.3%
1 1518
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10552
58.3%
. 6035
33.3%
1 1518
 
8.4%

Symptom_Reproductive_early_menopause
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
2520 
1.0
 
84

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2520
41.8%
1.0 84
 
1.4%
(Missing) 3431
56.9%

Length

2023-09-05T23:32:59.913485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:32:59.948931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2520
96.8%
1.0 84
 
3.2%

Most occurring characters

ValueCountFrequency (%)
0 5124
65.6%
. 2604
33.3%
1 84
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5124
98.4%
1 84
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5124
65.6%
. 2604
33.3%
1 84
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5124
65.6%
. 2604
33.3%
1 84
 
1.1%

Symptom_Reproductive_abnormally_heavy_periods_clotting
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
2028 
1.0
576 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2028
33.6%
1.0 576
 
9.5%
(Missing) 3431
56.9%

Length

2023-09-05T23:32:59.987317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.023275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2028
77.9%
1.0 576
 
22.1%

Most occurring characters

ValueCountFrequency (%)
0 4632
59.3%
. 2604
33.3%
1 576
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4632
88.9%
1 576
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4632
59.3%
. 2604
33.3%
1 576
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4632
59.3%
. 2604
33.3%
1 576
 
7.4%

Symptom_Reproductive_testicle_penis_pain_changes
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
2384 
1.0
 
220

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2384
39.5%
1.0 220
 
3.6%
(Missing) 3431
56.9%

Length

2023-09-05T23:33:00.062675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.098438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2384
91.6%
1.0 220
 
8.4%

Most occurring characters

ValueCountFrequency (%)
0 4988
63.9%
. 2604
33.3%
1 220
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4988
95.8%
1 220
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4988
63.9%
. 2604
33.3%
1 220
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4988
63.9%
. 2604
33.3%
1 220
 
2.8%

Symptom_Reproductive_sexual_dysfunction
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
1923 
1.0
681 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1923
31.9%
1.0 681
 
11.3%
(Missing) 3431
56.9%

Length

2023-09-05T23:33:00.137390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.173790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1923
73.8%
1.0 681
 
26.2%

Most occurring characters

ValueCountFrequency (%)
0 4527
57.9%
. 2604
33.3%
1 681
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4527
86.9%
1 681
 
13.1%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4527
57.9%
. 2604
33.3%
1 681
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4527
57.9%
. 2604
33.3%
1 681
 
8.7%

Symptom_Reproductive_postmenopausal_bleeding
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
2507 
1.0
 
97

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2507
41.5%
1.0 97
 
1.6%
(Missing) 3431
56.9%

Length

2023-09-05T23:33:00.212805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.248744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2507
96.3%
1.0 97
 
3.7%

Most occurring characters

ValueCountFrequency (%)
0 5111
65.4%
. 2604
33.3%
1 97
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5111
98.1%
1 97
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5111
65.4%
. 2604
33.3%
1 97
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5111
65.4%
. 2604
33.3%
1 97
 
1.2%

Symptom_Reproductive_other_urinary_issues
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
1677 
1.0
927 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1677
27.8%
1.0 927
 
15.4%
(Missing) 3431
56.9%

Length

2023-09-05T23:33:00.286814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.322936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1677
64.4%
1.0 927
35.6%

Most occurring characters

ValueCountFrequency (%)
0 4281
54.8%
. 2604
33.3%
1 927
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4281
82.2%
1 927
 
17.8%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4281
54.8%
. 2604
33.3%
1 927
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4281
54.8%
. 2604
33.3%
1 927
 
11.9%

Symptom_Reproductive_other_menstrual_issues
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
2061 
1.0
543 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2061
34.2%
1.0 543
 
9.0%
(Missing) 3431
56.9%

Length

2023-09-05T23:33:00.362311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.398079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2061
79.1%
1.0 543
 
20.9%

Most occurring characters

ValueCountFrequency (%)
0 4665
59.7%
. 2604
33.3%
1 543
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4665
89.6%
1 543
 
10.4%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4665
59.7%
. 2604
33.3%
1 543
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4665
59.7%
. 2604
33.3%
1 543
 
7.0%

Symptom_Reproductive_abnormally_irregular_periods
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing3431
Missing (%)56.9%
Memory size47.3 KiB
0.0
1876 
1.0
728 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7812
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1876
31.1%
1.0 728
 
12.1%
(Missing) 3431
56.9%

Length

2023-09-05T23:33:00.437279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.473071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1876
72.0%
1.0 728
 
28.0%

Most occurring characters

ValueCountFrequency (%)
0 4480
57.3%
. 2604
33.3%
1 728
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5208
66.7%
Other Punctuation 2604
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4480
86.0%
1 728
 
14.0%
Other Punctuation
ValueCountFrequency (%)
. 2604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4480
57.3%
. 2604
33.3%
1 728
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4480
57.3%
. 2604
33.3%
1 728
 
9.3%

Symptom_Gastrointestinal_feeling_full_quickly_eating
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2555
Missing (%)42.3%
Memory size47.3 KiB
1.0
1884 
0.0
1596 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10440
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1884
31.2%
0.0 1596
26.4%
(Missing) 2555
42.3%

Length

2023-09-05T23:33:00.512997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.551070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1884
54.1%
0.0 1596
45.9%

Most occurring characters

ValueCountFrequency (%)
0 5076
48.6%
. 3480
33.3%
1 1884
 
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6960
66.7%
Other Punctuation 3480
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5076
72.9%
1 1884
 
27.1%
Other Punctuation
ValueCountFrequency (%)
. 3480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5076
48.6%
. 3480
33.3%
1 1884
 
18.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5076
48.6%
. 3480
33.3%
1 1884
 
18.0%

Symptom_Gastrointestinal_abdominal_pain
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2555
Missing (%)42.3%
Memory size47.3 KiB
1.0
2492 
0.0
988 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10440
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 2492
41.3%
0.0 988
 
16.4%
(Missing) 2555
42.3%

Length

2023-09-05T23:33:00.591857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.629780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2492
71.6%
0.0 988
 
28.4%

Most occurring characters

ValueCountFrequency (%)
0 4468
42.8%
. 3480
33.3%
1 2492
23.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6960
66.7%
Other Punctuation 3480
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4468
64.2%
1 2492
35.8%
Other Punctuation
ValueCountFrequency (%)
. 3480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4468
42.8%
. 3480
33.3%
1 2492
23.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4468
42.8%
. 3480
33.3%
1 2492
23.9%

Symptom_Gastrointestinal_hyperactive_bowel
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2555
Missing (%)42.3%
Memory size47.3 KiB
0.0
2041 
1.0
1439 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10440
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2041
33.8%
1.0 1439
23.8%
(Missing) 2555
42.3%

Length

2023-09-05T23:33:00.671451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.710037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2041
58.6%
1.0 1439
41.4%

Most occurring characters

ValueCountFrequency (%)
0 5521
52.9%
. 3480
33.3%
1 1439
 
13.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6960
66.7%
Other Punctuation 3480
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5521
79.3%
1 1439
 
20.7%
Other Punctuation
ValueCountFrequency (%)
. 3480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5521
52.9%
. 3480
33.3%
1 1439
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5521
52.9%
. 3480
33.3%
1 1439
 
13.8%

Symptom_SkinAllergy_itchy_skin
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
1.0
1921 
0.0
1261 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 1921
31.8%
0.0 1261
20.9%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:00.751361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.790758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1921
60.4%
0.0 1261
39.6%

Most occurring characters

ValueCountFrequency (%)
0 4443
46.5%
. 3182
33.3%
1 1921
20.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4443
69.8%
1 1921
30.2%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4443
46.5%
. 3182
33.3%
1 1921
20.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4443
46.5%
. 3182
33.3%
1 1921
20.1%

Symptom_SkinAllergy_itchy_eyes
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
0.0
1702 
1.0
1480 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1702
28.2%
1.0 1480
24.5%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:00.835315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.874626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1702
53.5%
1.0 1480
46.5%

Most occurring characters

ValueCountFrequency (%)
0 4884
51.2%
. 3182
33.3%
1 1480
 
15.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4884
76.7%
1 1480
 
23.3%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4884
51.2%
. 3182
33.3%
1 1480
 
15.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4884
51.2%
. 3182
33.3%
1 1480
 
15.5%

Symptom_SkinAllergy_heighted_reaction_allergies
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
0.0
2434 
1.0
748 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2434
40.3%
1.0 748
 
12.4%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:00.917657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:00.957082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2434
76.5%
1.0 748
 
23.5%

Most occurring characters

ValueCountFrequency (%)
0 5616
58.8%
. 3182
33.3%
1 748
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5616
88.2%
1 748
 
11.8%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5616
58.8%
. 3182
33.3%
1 748
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5616
58.8%
. 3182
33.3%
1 748
 
7.8%

Symptom_SkinAllergy_brittle_nail
Categorical

MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
0.0
2522 
1.0
660 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2522
41.8%
1.0 660
 
10.9%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:01.000019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.038542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2522
79.3%
1.0 660
 
20.7%

Most occurring characters

ValueCountFrequency (%)
0 5704
59.8%
. 3182
33.3%
1 660
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5704
89.6%
1 660
 
10.4%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5704
59.8%
. 3182
33.3%
1 660
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5704
59.8%
. 3182
33.3%
1 660
 
6.9%

Symptom_SkinAllergy_new_allergies
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
0.0
2601 
1.0
581 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 2601
43.1%
1.0 581
 
9.6%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:01.080648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.121090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2601
81.7%
1.0 581
 
18.3%

Most occurring characters

ValueCountFrequency (%)
0 5783
60.6%
. 3182
33.3%
1 581
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5783
90.9%
1 581
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5783
60.6%
. 3182
33.3%
1 581
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5783
60.6%
. 3182
33.3%
1 581
 
6.1%

Symptom_SkinAllergy_other_itchy
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
0.0
2836 
1.0
346 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2836
47.0%
1.0 346
 
5.7%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:01.163246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.202882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2836
89.1%
1.0 346
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0 6018
63.0%
. 3182
33.3%
1 346
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6018
94.6%
1 346
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6018
63.0%
. 3182
33.3%
1 346
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6018
63.0%
. 3182
33.3%
1 346
 
3.6%

Symptom_SkinAllergy_shingles
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing2853
Missing (%)47.3%
Memory size47.3 KiB
0.0
3027 
1.0
 
155

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9546
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3027
50.2%
1.0 155
 
2.6%
(Missing) 2853
47.3%

Length

2023-09-05T23:33:01.243834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.280850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3027
95.1%
1.0 155
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 6209
65.0%
. 3182
33.3%
1 155
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6364
66.7%
Other Punctuation 3182
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6209
97.6%
1 155
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 3182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6209
65.0%
. 3182
33.3%
1 155
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6209
65.0%
. 3182
33.3%
1 155
 
1.6%

Symptom_PEM
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
5333 
0
702 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Length

2023-09-05T23:33:01.321233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.358734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring characters

ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Symptom_Fatigue
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
5911 
0
 
124

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Length

2023-09-05T23:33:01.399607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.436386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring characters

ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Symptom_Change_sensitivity_to_meds
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4775 
1
1260 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Length

2023-09-05T23:33:01.476320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T23:33:01.513737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring characters

ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Correlations

2023-09-05T23:33:01.632506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Symptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_New_allergiesSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Extreme_thirstSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_Inability_to_yawnSymptom_inability_to_crySymptom_coughing_up_bloodSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_new_allergiesSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_meds
Symptom_Memory_short1.0000.0300.0310.0650.2180.1020.1050.1050.0580.0380.0730.0840.0000.1080.0840.0930.1010.0970.0450.0620.0340.0000.0280.0530.0700.0210.0170.0570.0830.0320.0000.0220.0000.0000.0480.0740.0360.0280.0470.0290.0350.0000.0000.0200.0490.0670.0580.0730.0670.0200.0290.0410.0110.0000.0600.0000.0600.0000.0300.0640.0120.0380.0500.0650.0130.0000.0300.0220.0000.0230.0580.0320.0340.0410.0310.0720.0580.0490.0480.0460.0470.0810.0580.0430.0100.0800.0650.0320.0480.0430.0480.0210.0410.0190.0250.0000.0550.0590.0590.0440.0370.0390.0350.0000.0550.0440.0490.0330.0230.0590.0130.0200.0160.0110.0440.0000.0750.0890.0790.0570.0170.0210.0000.0000.0000.0000.0370.0210.0000.0000.0000.0580.0660.0000.0620.0580.0580.0420.0110.0000.0320.0000.0430.0000.0190.0540.0250.0000.0000.0000.0000.0000.0000.0340.0460.0500.0000.0000.0140.0000.0000.0000.0360.0000.000
Symptom_Memory_long0.0301.0000.1990.1600.0660.2060.2240.2430.1820.0900.1630.1260.0260.0560.1810.1900.2220.1350.1170.1650.0610.0000.0300.0750.0930.0680.0620.0500.1410.0620.0460.0700.0230.0290.1110.1110.0930.0910.0250.0630.0200.0420.0220.0870.0210.0770.0770.0670.0660.0420.0770.0490.0540.0440.0000.0970.0510.0180.0800.0620.0450.0830.0450.0680.1000.0360.0310.0320.0200.0340.0970.0710.0240.0540.0520.0830.0460.0340.0690.0200.0670.1100.0840.0460.0000.1580.1310.0800.0250.0470.0790.0490.0440.0640.0580.0230.0610.0390.1010.0880.0360.0730.0480.0020.0880.0900.1280.0360.0980.0480.0850.0580.0670.0470.0420.0470.0870.0720.0860.0940.0250.0500.0000.0000.0760.0010.1450.0240.0060.0750.0200.1460.1510.0880.0970.0940.1000.0690.0460.0160.0730.0330.1290.0630.0000.0000.0000.0630.0000.0610.0000.0170.0310.0000.0540.0810.0880.0000.0490.0300.0270.0040.0790.0180.081
Symptom_Memory_no_new_memories0.0310.1991.0000.2010.0000.1230.1460.1490.1250.1090.1940.0570.0000.0000.1430.1680.1800.1490.1210.1570.1120.0000.0000.0520.1130.0580.0220.0600.1050.0440.0420.1020.0000.0000.0700.0670.0790.0920.0330.0570.0000.0690.0000.0550.0290.0600.0800.0590.0600.0530.0330.0200.0770.0000.0000.0820.0950.0000.0390.0650.0760.0490.0490.0840.0670.0460.0480.0380.0420.0000.0650.0500.0270.0310.0610.0330.0360.0370.0340.0610.0590.0320.0820.0260.0650.1630.1380.0460.0000.0330.0410.0550.0340.0350.0600.0640.0000.0060.0460.0410.0430.0870.0240.0060.1020.0670.1280.0510.0980.0810.0550.0470.0630.0850.0470.0360.0910.0320.0590.0750.0160.0660.0060.0420.1270.0520.1130.0320.0380.1000.0470.1320.1460.0520.0810.0730.1070.1500.0680.0310.0590.0540.1020.0450.0200.0000.0370.0680.0000.0100.0000.0620.0270.0170.0710.0130.0850.0290.0890.0760.0000.0060.0230.0000.085
Symptom_Memory_forget_tasks0.0650.1600.2011.0000.0000.1230.1800.1750.1320.0940.2540.0430.0320.0000.1450.1740.1770.1930.1740.2090.0540.0000.0410.0800.1080.0320.0360.1020.1250.0910.0320.0820.0000.0180.0870.1250.1120.1490.0890.0860.0000.0120.0000.0920.0950.0670.0970.0780.0830.0750.0570.0490.0320.0310.0940.0860.0640.0000.1140.0990.0750.0910.0460.1070.0770.0850.0450.0400.0490.0690.1040.0430.0720.0630.1090.0940.0850.0870.0560.0900.1070.1010.1160.0740.0660.2170.1880.0880.0420.0760.0760.0510.0620.0320.0650.0640.0490.0530.0550.0510.0640.0700.0430.0000.1220.0940.1110.0580.1050.0750.0960.0810.0620.0880.0810.0570.1120.0450.0990.1100.0470.0450.0190.0000.0610.0510.1190.0550.0000.1060.0170.1340.1620.0900.0940.0910.1290.1020.0490.0200.0550.0580.1310.0480.0550.0000.0000.0790.0160.0490.0000.0500.0430.0460.0620.0530.0680.0660.1010.0620.0000.0420.0710.0000.101
Symptom_Memory_other0.2180.0660.0000.0001.0000.0000.0000.0000.0000.0000.0450.0190.2110.0000.0000.0000.0000.0000.0000.0430.0240.0940.0000.0000.0000.0000.0340.0000.0000.0130.1650.0000.0000.0000.0260.0100.0310.0000.0000.0000.0000.0000.0390.0000.0000.0050.0000.0000.0000.0080.0970.0000.0270.0000.0310.0000.0000.1130.0000.0000.0220.0000.0000.0250.0000.0190.0000.0090.0140.0170.0000.0900.0090.0130.0480.0000.0000.0130.0050.0000.0070.0000.0000.0280.0000.0000.0110.0000.0250.0190.0000.0170.0290.0130.0220.0110.0060.0000.0230.0260.0100.0140.0030.1160.0000.0000.0000.0000.0500.0140.0190.0190.0190.0000.0210.0670.0000.0160.0000.0000.0000.0160.0130.0000.0000.0000.0550.0000.0320.0000.0930.0100.0000.0280.0190.0000.0000.0040.0000.0200.0000.0320.0000.1000.0120.0000.0000.0270.0000.0670.0270.0200.0000.0280.0000.0000.0000.0000.0170.0000.0500.0060.0000.0000.037
Symptom_Cognitive_Functioning_thinking0.1020.2060.1230.1230.0001.0000.3000.3440.1940.0890.1070.1850.0540.0880.2090.2040.2520.1720.0920.1560.0260.0000.0660.0760.1330.0720.0570.0500.1630.0820.0000.0640.0000.0120.0210.0830.0420.0520.0550.0480.0000.0300.0000.0600.0790.0660.0890.0610.0900.0220.0750.1300.0620.0000.0440.0790.0000.0160.0800.0870.0600.0450.0690.0840.0930.0550.0510.0000.0150.0000.0950.0780.0570.0640.0640.0930.0730.0450.0910.0320.0610.1540.0910.0960.0280.1400.1420.0630.0490.0530.1020.0560.0330.0740.0480.0240.0890.0750.0620.0650.0590.0610.0550.0000.0590.0780.1210.0750.0550.0540.0620.0450.0610.0360.0550.0150.1150.1150.1020.0980.0620.0400.0110.0070.0490.0000.1350.0360.0280.0470.0000.1300.1670.0840.1000.0780.0890.0600.0300.0260.0520.0530.0990.0470.0000.0000.0000.0680.0150.0000.0000.0130.0340.0390.0000.0500.0510.0010.0530.0000.0000.0000.1190.0810.009
Symptom_Cognitive_Functioning_executive0.1050.2240.1460.1800.0000.3001.0000.4660.1430.1080.1240.1660.0290.1110.2110.2540.2670.1850.1000.1960.0570.0070.0790.0670.1320.0940.0600.0710.1820.0890.0570.0380.0000.0000.0550.0900.0630.0760.0440.0560.0230.0000.0100.0640.0490.0960.1020.0820.0540.0410.0810.0710.0720.0360.0000.0980.0630.0000.0970.0710.0380.0490.0600.0940.1040.0350.0260.0170.0000.0250.1320.1000.0610.0550.0520.0890.0890.0580.0810.0640.0870.1330.0970.0960.0350.1900.1550.0780.0490.0510.1010.0800.0410.0630.0560.0420.0970.0590.0580.0590.0580.0730.0580.0000.0600.0890.1180.0430.0730.0450.0640.0650.0530.0560.0890.0410.0940.0980.1050.0820.0340.0380.0000.0000.0550.0300.1650.0000.0000.0480.0290.1300.1840.0720.0920.1010.0720.0690.0290.0410.0350.0240.1010.0600.0000.0290.0000.0830.0000.0320.0290.0340.0240.0360.0300.0770.0560.0490.0460.0390.0000.0000.1280.0550.067
Symptom_Cognitive_Functioning_problemsolving0.1050.2430.1490.1750.0000.3440.4661.0000.1640.1190.1230.1780.0310.1050.2370.2540.2930.2020.1100.2090.0720.0000.0750.0990.1290.0640.0440.0750.1920.0800.0330.0700.0000.0000.0840.0970.0750.0910.0530.0650.0000.0370.0200.0620.0700.0960.0860.0690.0950.0400.0840.0680.0560.0290.0000.0880.0530.0000.0940.0940.0460.0860.0650.0760.1140.0550.0500.0250.0160.0080.1260.1120.0590.0540.0780.0970.0760.0790.0850.0560.0860.1390.0920.0980.0270.1860.1630.0940.0710.0410.1090.0770.0640.0670.0620.0320.0850.0660.0780.0980.0800.0910.0640.0270.0790.1110.1350.0610.0890.0580.0710.0770.0480.0480.0640.0340.1050.0840.0890.0860.0360.0490.0110.0000.0690.0150.1730.0000.0270.0570.0000.1440.1940.0890.1060.1090.0950.0720.0340.0510.0690.0900.1110.0770.0300.0270.0000.1050.0000.0190.0000.0000.0320.0300.0550.0620.0850.0520.0400.0400.0310.0000.1120.0460.077
Symptom_Cognitive_Functioning_slowedthoughts0.0580.1820.1250.1320.0000.1940.1430.1641.0000.0180.1060.0980.0000.0730.1760.1470.1740.1760.0900.1160.0350.0000.0260.0520.1340.0910.0470.0670.1620.0720.0330.0820.0000.0000.0640.0520.0080.0670.0820.0570.0350.0290.0000.0380.0370.0710.0760.0410.0370.0260.0610.0670.0710.0150.0170.0070.0850.0000.0600.0900.0550.0780.0620.1060.0880.0670.0450.0360.0190.0170.1000.0580.0750.0400.0760.0950.0780.0460.0600.0540.0730.0990.1020.0580.0260.1560.1700.0530.0410.0570.0840.0600.0320.0570.0540.0290.0560.0590.0510.0630.0610.0460.0390.0000.0480.0790.1040.0660.0620.0330.0540.0690.0540.0340.0420.0090.1160.0780.0760.0900.0420.0200.0000.0320.0500.0060.1020.0440.0430.0650.0060.0900.1240.0680.1030.0550.0750.0940.0220.0250.0560.0590.0870.0540.0320.0190.0000.0600.0080.0120.0000.0000.0540.0190.0660.0580.0600.0120.0620.0000.0130.0470.0670.0140.044
Symptom_Cognitive_Functioning_fastthoughts0.0380.0900.1090.0940.0000.0890.1080.1190.0181.0000.1260.0520.0160.0290.0700.0980.1380.1120.1020.0980.0000.0000.0730.1010.0660.0230.0600.0610.1180.0870.0000.0920.0300.0480.0450.0790.0730.1150.0690.0750.0390.0080.0350.0900.0730.0840.0890.1010.1060.0250.0210.0760.0400.0100.0260.1030.0450.0520.0960.0530.0600.0480.0510.0700.0410.0230.0460.0460.0300.0460.0850.0090.0430.0500.0310.0830.0580.0280.0630.0300.0250.0700.0650.0430.0240.1260.1210.0780.0430.0410.0710.0590.0590.0160.0590.0130.0380.0290.1040.0890.0290.0630.0510.0130.0510.0450.0810.0710.0740.0570.0710.0360.0680.0540.0560.0000.0960.0670.0780.1050.0400.0410.0000.0190.0830.0000.0650.0520.0530.0790.0000.0940.1220.0820.1010.0820.0580.0550.0490.0000.0680.0400.0930.0480.0440.0350.0000.0720.0000.0370.0000.0390.0550.0390.0710.1020.0710.0080.0550.0300.0000.0000.0000.0000.027
Symptom_Cognitive_Functioning_agnosia0.0730.1630.1940.2540.0450.1070.1240.1230.1060.1261.0000.0380.0020.0560.1470.1360.1890.1770.1800.1440.0000.0000.0490.0930.0790.0520.0130.0720.1170.1010.0250.0820.0120.0180.0770.1420.0910.1530.0890.1180.0340.0800.0140.0680.0950.0990.1040.0980.1100.0520.0370.0800.0450.0000.0000.1460.0840.0650.0940.0810.0830.1010.0720.1170.0790.0540.0750.0000.0580.0170.1190.0600.0610.0640.0920.0800.0830.0820.0780.0730.0910.1090.1340.0790.0680.2080.2190.0720.0650.0740.0760.0870.0630.0630.0640.0450.0450.0590.0590.0680.0720.1270.0480.0000.1000.1040.1220.0710.0910.0760.0720.0800.0940.0680.0880.0000.1680.0940.1230.1680.0250.0590.0360.0000.0680.0340.1090.0490.0460.1060.0280.1390.1700.0870.1040.1200.1160.1360.0640.0260.0440.0550.1800.0330.0260.0000.0000.0670.0000.0180.0280.0440.0340.0220.0550.0800.0740.0340.0940.0500.0000.0530.0650.0000.075
Symptom_Cognitive_Functioning_attentionconcentration0.0840.1260.0570.0430.0190.1850.1660.1780.0980.0520.0381.0000.0810.1030.0810.2010.1600.0960.0410.1250.0000.0000.0430.0720.0970.0740.0390.0410.1310.0660.0270.0580.0050.0240.0520.0570.0120.0360.0210.0190.0000.0000.0310.0210.0420.0440.0560.0490.0270.0000.0350.0360.0340.0170.0380.0000.0370.0000.0390.0490.0180.0480.0570.0410.0630.0240.0170.0000.0230.0000.0650.0510.0390.0380.0370.0460.0660.0210.0850.0350.0340.0830.0500.0700.0000.0780.0860.0320.0480.0420.0810.0550.0480.0390.0290.0000.0640.0790.0390.0400.0690.0410.0770.0000.0000.0640.0600.0480.0430.0420.0480.0000.0280.0270.0310.0000.0470.0620.0540.0360.0610.0250.0000.0010.0390.0060.0930.0170.0190.0220.0000.0610.1310.0720.0740.0430.0430.0390.0000.0230.0560.0390.0510.0410.0000.0000.0000.0520.0300.0020.0000.0210.0000.0540.0000.0230.0230.0640.0240.0000.0000.0100.0960.0420.024
Symptom_Cognitive_Functioning_other0.0000.0260.0000.0320.2110.0540.0290.0310.0000.0160.0020.0811.0000.0000.0250.0170.0000.0000.0150.0370.0510.1290.0000.0000.0080.0000.0000.0000.0000.0120.1190.0000.0360.0110.0270.0150.0080.0230.0260.0260.0000.0000.0000.0000.0000.0000.0060.0240.0000.0060.1120.0220.0000.0390.0000.0330.0000.1710.0290.0000.0200.0150.0000.0200.0140.0000.0110.0110.0000.0040.0120.0730.0010.0300.0610.0350.0200.0100.0320.0250.0190.0220.0000.0000.0000.0280.0350.0140.0000.0000.0300.0460.0120.0140.0000.0450.0190.0180.0170.0240.0000.0400.0250.1190.0000.0210.0280.0320.0420.0180.0380.0240.0000.0000.0390.0800.0380.0000.0120.0200.0000.0160.0000.0110.0000.0450.0000.0000.0000.0000.0460.0160.0240.0280.0330.0090.0280.0000.0000.0310.0000.0250.0170.0870.0270.0000.0030.0160.0000.0670.0870.0000.0000.0000.0000.0000.0000.0000.0370.0000.0860.0000.0000.0000.041
Symptom_Speech_difficulty_finding_words0.1080.0560.0000.0000.0000.0880.1110.1050.0730.0290.0560.1030.0001.0000.1100.1020.1080.1190.0490.0980.0000.2250.0630.0620.0470.0120.0300.0530.1000.0000.0000.0000.0000.0580.0290.0490.0000.0300.0160.0280.0000.0000.0390.0460.0000.0820.0230.0700.0510.0000.0380.0220.0000.0260.0000.0470.0000.0740.0490.0140.0000.0550.0610.0470.0000.0000.0190.0200.0000.0100.0430.0080.0480.0200.0360.0440.0410.0180.0860.0140.0000.0830.0710.0380.0000.0350.0000.0000.0480.0000.0140.0000.0270.0440.0070.0000.0820.0540.0410.0390.0000.0360.0390.0380.0000.0640.0240.0000.0190.0000.0000.0070.0000.0000.0520.0000.0570.0970.0680.0430.0080.0090.0360.0000.0000.0000.0190.0220.0510.0000.0000.0640.0730.0420.0550.0530.0000.0000.0000.0000.0210.0300.0640.0000.0000.0000.0210.0350.0000.0420.0540.0130.0000.0140.0000.0000.0530.0180.0000.0000.0000.0000.0610.0140.000
Symptom_Speech_difficulty_communicating_verbally0.0840.1810.1430.1450.0000.2090.2110.2370.1760.0700.1470.0810.0250.1101.0000.2370.2670.3580.1660.2670.0490.0480.0630.0840.1120.0710.0590.0300.1470.0480.0390.1240.0320.0090.0970.0570.0640.0910.0690.0910.0600.0000.0240.0800.0930.1000.0800.0880.0730.0510.0970.0630.0520.0000.0340.0960.0000.0000.0450.1010.0500.0810.0590.0760.0900.0580.0680.0330.0640.0420.1030.0440.0330.0350.0640.0840.0710.0670.0590.0680.0470.1090.0860.0610.0500.1800.1900.0400.0500.0420.0620.0690.0530.0000.0230.0000.0640.0490.0510.0700.0510.0460.0610.0060.0460.0930.1180.0320.0630.0370.0050.0200.0330.0300.0710.0020.1250.0900.0750.0900.0000.0720.0000.0000.0560.0130.1280.0230.0300.0430.0060.1190.1230.0540.0780.0650.0780.0810.0330.0000.0780.0400.0870.0480.0000.0000.0320.0390.0300.0250.0000.0000.0100.0730.0090.0380.0420.0000.0000.0160.0000.0190.0510.0490.064
Symptom_Speech_difficulty_reading_processing_text0.0930.1900.1680.1740.0000.2040.2540.2540.1470.0980.1360.2010.0170.1020.2371.0000.3940.2170.1560.3670.0910.0550.1010.1400.1410.0690.0930.0920.2200.0790.0370.1300.0100.0000.1450.1260.1250.1190.0880.1060.0000.0000.0290.0570.0890.1160.0730.0850.0770.0270.1010.0570.0300.0000.0440.0320.0830.0000.1150.0910.0530.1090.1000.1090.0770.0800.0480.0430.0310.0230.1320.0680.0660.0610.0920.0940.0930.0930.1210.0950.0810.1080.1150.0910.0520.1540.1330.0830.0900.0770.1370.0990.0860.0480.0250.0600.0680.0940.0510.0540.1000.0490.0790.0050.0380.1240.1630.0820.1120.0540.0800.0660.0760.0740.1060.0000.1230.0700.0960.1190.0650.0760.0000.0120.0730.0510.1380.0280.0570.0380.0000.1890.1830.0950.1570.1290.1300.1180.0100.0460.0850.0780.1020.0790.0000.0280.0210.0490.0000.0750.0000.0560.0320.0850.0610.0860.0680.0110.0600.0370.0150.0000.0820.0380.055
Symptom_Speech_difficulty_understanding_others_speech0.1010.2220.1800.1770.0000.2520.2670.2930.1740.1380.1890.1600.0000.1080.2670.3941.0000.2350.1910.2430.0910.0530.0830.1440.1280.0700.0600.0870.2530.0910.0600.1070.0000.0000.1310.1310.1360.1190.1080.0940.0180.0260.0420.0710.0810.0830.1130.1040.1060.0490.0910.0650.0600.0000.0590.0590.1160.0000.1120.1120.0820.0740.0900.1400.0990.0630.0630.0540.0460.0700.1370.0520.0780.0970.0720.1020.0780.0780.1110.0650.1130.1400.1270.0910.0300.2130.1490.0780.0970.0630.1340.1120.0700.0680.0900.0570.0750.0720.0680.0920.0970.0790.0840.0000.0780.1180.1330.0600.1080.0630.0860.0720.0910.0710.0650.0180.1470.1050.1310.1350.0480.0580.0000.0000.0820.0270.1750.0360.0580.0750.0000.1520.2030.1110.1350.1170.0810.1150.0360.0300.0780.0640.1230.0670.0000.0170.0000.0940.0520.0590.0000.0000.0580.0370.0380.0890.0920.0360.0380.0380.0000.0000.0820.0300.056
Symptom_Speech_difficulty_speaking_complete_sentences0.0970.1350.1490.1930.0000.1720.1850.2020.1760.1120.1770.0960.0000.1190.3580.2170.2351.0000.2470.2660.0780.0550.0510.1160.0900.0310.0250.0930.1430.0460.0000.1000.0000.0550.0760.1100.0630.1370.0840.0590.0270.0520.0480.1210.0880.1260.1150.1220.0840.0750.0110.0470.0560.0000.0000.0670.0470.0000.0530.0660.0610.0750.0360.0790.0990.0770.0360.0000.0570.0600.1020.0520.0800.0880.0940.0820.0520.0640.0810.0730.1000.0930.1190.0730.0460.1980.2530.0670.0750.0550.0770.0420.0590.0430.0680.0460.0370.0610.0700.0700.0890.1000.0360.0000.0760.1190.1510.0520.0900.0470.0640.0520.0700.0300.0590.0000.1390.0920.0950.1250.0760.0610.0080.0000.0300.0230.1320.0760.0510.0990.0000.1550.1520.0740.1080.1030.0910.0870.0450.0220.0590.0640.1140.0420.0000.0000.0000.0390.0000.0320.0070.0320.0320.0630.0910.0260.1010.0000.0590.0000.0400.0000.0700.0370.044
Symptom_Speech_speaking_unrecognizable_words0.0450.1170.1210.1740.0000.0920.1000.1100.0900.1020.1800.0410.0150.0490.1660.1560.1910.2471.0000.1860.0330.0400.0470.0860.0770.0720.0470.1030.1260.0450.0280.1200.0000.0000.0450.0990.0670.1210.0800.0670.0300.0690.0000.0890.0650.0520.1000.0930.0830.0440.0120.0150.0290.0620.0570.0620.1460.0000.1030.0840.0990.0650.0620.1040.0830.0550.0410.0170.0850.0370.1060.0120.0680.0890.0660.0910.0440.0800.0630.0700.1010.0680.1030.0740.0320.1440.2730.0520.0480.0670.0670.0600.0610.0470.0640.0820.0350.0430.0600.0650.0540.0950.0490.0000.1040.0990.1150.0350.0630.0770.0710.1040.0790.0270.0570.0000.1250.0560.0790.1250.0710.1020.0440.0000.0760.0500.0670.0420.0580.0860.0320.1130.1220.0480.0920.0740.0970.0880.0810.0420.0660.0600.1130.0410.0000.0000.0170.0760.0000.0260.0120.0000.0370.1040.0430.0550.0940.0120.0640.0000.0000.0050.0080.0000.053
Symptom_Speech_difficulty_communicating_writing0.0620.1650.1570.2090.0430.1560.1960.2090.1160.0980.1440.1250.0370.0980.2670.3670.2430.2660.1861.0000.0900.0000.0680.0940.1060.0770.0870.0720.1770.0610.0810.1310.0000.0100.1200.0990.1260.1020.0710.0710.0210.0140.0410.0800.0910.1210.0970.0630.1240.0460.0680.0860.0850.0160.0180.0630.0680.0000.0830.1160.1020.1130.0910.1000.0710.0780.0580.0000.0640.0500.0950.0410.0960.0780.1050.0870.1020.1010.0650.1160.0630.0890.1370.0770.0590.1600.1400.0800.0770.0650.1130.0780.0710.0260.0130.0380.0390.0500.0440.0570.0830.0710.0760.0200.0400.0960.1310.0710.1000.1030.1170.0670.0640.0830.1000.0370.1730.0810.0620.0830.0790.0980.0270.0230.0510.0150.1080.0700.0720.0570.0220.1660.1580.1020.1020.1070.1000.1000.0410.0500.1210.0640.0900.0720.0000.0000.0100.0430.0280.1010.0000.0000.0050.0870.0100.0620.0930.0500.0810.0550.0450.0360.1020.0200.055
Symptom_Speech_changes_to_secondary_languages0.0340.0610.1120.0540.0240.0260.0570.0720.0350.0000.0000.0000.0510.0000.0490.0910.0910.0780.0330.0901.0000.0030.0000.0000.0170.0300.0000.0000.0490.0000.0600.0360.0000.0000.0430.0000.0270.0530.0350.0750.0000.0000.0000.0000.0470.0150.0530.0110.0400.0530.0770.0000.0150.0000.0000.0460.0000.0000.0190.0000.0100.0290.0300.0000.0170.0180.0000.0000.0260.0000.0000.0000.0000.0100.0390.0000.0000.0170.0090.0620.0480.0000.0140.0180.0000.0690.0520.0000.0000.0000.0000.0120.0000.0000.0380.0780.0100.0070.0230.0300.0490.0770.0380.0000.0040.0250.0000.0000.0000.0410.0330.0220.0500.0100.0130.0000.0180.0000.0000.0000.0390.0000.0000.0000.0510.0670.0320.0160.0000.0220.0000.0570.0480.0000.0000.0280.0000.0120.0000.0290.0000.0000.0000.0000.0000.0000.0000.0510.0250.0000.0110.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0440.0000.0000.033
Symptom_Speech_other0.0000.0000.0000.0000.0940.0000.0070.0000.0000.0000.0000.0000.1290.2250.0480.0550.0530.0550.0400.0000.0031.0000.0000.0000.0000.0130.0120.0480.0230.0000.1410.0000.0000.0370.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0530.0000.0320.0000.0000.0000.0530.0770.0000.0200.0000.0210.0360.0000.0110.0000.0340.0310.0090.0000.0000.0400.0000.0000.0230.0220.0000.0000.0000.0000.0210.0000.0000.0000.0000.0280.0430.0450.0240.0380.0340.0000.0310.0330.0050.0000.0000.0090.0000.0220.0060.0000.0000.0850.0100.0090.0440.0410.0520.0000.0570.0000.0250.0000.0000.0820.0000.0050.0180.0000.0000.0160.0710.0000.0000.0000.0000.0000.0000.0000.0890.0000.0470.0000.0360.0100.0390.0000.0430.0000.0000.0000.0200.0730.0180.0310.0000.0090.0000.0300.0280.0000.0000.0080.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.025
Symptom_Headaches_behind_eyes0.0280.0300.0000.0410.0000.0660.0790.0750.0260.0730.0490.0430.0000.0630.0630.1010.0830.0510.0470.0680.0000.0001.0000.1370.1060.0240.2200.1080.1600.1470.0600.0630.0000.0000.0710.0570.0580.0970.0500.0430.0260.0000.0540.0920.0660.0790.0690.0620.0720.0240.0510.0170.0000.0470.0780.0180.0000.0640.0940.0440.0000.0470.0670.0730.0310.0600.0490.0410.0000.0140.0980.0510.0410.0280.0510.1000.0500.0510.0630.0600.0630.0860.1080.0430.0230.0560.0730.0700.0440.0440.0880.0630.0660.0380.0340.0000.0590.0650.0520.0610.0400.0750.0480.0000.0580.0940.1380.0510.0530.0430.0950.0670.0660.0700.0750.0000.0970.1050.1510.1020.0130.0970.0000.0000.0000.0000.0460.0900.0370.0000.0270.1250.1980.1090.2990.1300.0650.0540.0350.0290.0820.0600.1070.0800.0000.0690.0000.0230.0000.0170.0000.0210.0000.0480.0000.0690.1020.0060.0610.0210.0000.0000.0380.0400.057
Symptom_Headaches_stiff_neck0.0530.0750.0520.0800.0000.0760.0670.0990.0520.1010.0930.0720.0000.0620.0840.1400.1440.1160.0860.0940.0000.0000.1371.0000.1530.0610.0640.2990.1830.1370.0180.1110.0500.0150.0870.1070.0870.1120.1170.0670.0300.0340.0120.1240.1190.0900.0890.1160.0780.0670.0640.0270.0000.0300.0000.0930.1020.0000.1210.1120.0710.1180.1240.1440.1290.0710.0590.0610.0420.0430.1360.0880.1270.0790.0890.1200.0730.0590.0900.1180.0970.1450.1960.0820.0650.0990.1320.1250.1020.0870.1090.0800.1200.0640.0770.0440.0670.1100.1240.1120.0790.0950.1040.0000.0680.1090.1520.0660.1120.0810.1130.0770.1090.0700.0970.0000.1790.1880.2200.1610.0660.1760.0490.0000.0000.0000.0770.0930.0610.0590.0000.1560.1810.1570.1590.1530.0660.0590.0230.0520.1060.0850.1130.0490.0000.0000.0000.0510.0000.0580.0370.0000.0430.0960.0720.0970.1400.0370.0800.0280.0040.0000.0680.0400.083
Symptom_Headaches_brain_pressure0.0700.0930.1130.1080.0000.1330.1320.1290.1340.0660.0790.0970.0080.0470.1120.1410.1280.0900.0770.1060.0170.0000.1060.1531.0000.1920.1170.1780.2390.1390.0310.2250.0190.0000.0620.0940.0760.1140.0830.0480.0480.0840.0350.1130.1290.0700.1060.1200.1000.0710.0550.0480.0470.0230.0000.0400.0860.0000.1280.1370.1460.1330.1010.1520.1290.1570.1570.1240.0810.0140.1000.0930.0660.0410.0870.1290.1410.1120.1310.1270.1000.1620.1620.0610.0510.1810.1670.1070.0630.0420.1170.0910.0880.0030.0000.0250.0350.0900.1030.0650.0880.0650.0740.0180.0980.1840.1550.0970.1060.0800.0890.0590.0920.0660.0820.0260.1720.0960.1050.1280.0900.0680.0240.0620.0640.0000.1590.1070.1170.1140.0350.1600.2340.1390.2320.1280.1060.1160.0330.0480.1040.1010.1440.0790.0000.0510.0000.0380.0120.0260.0160.0620.0420.0690.0470.0740.1070.0000.0840.0280.0000.0000.0930.0190.076
Symptom_Headaches_diffuse0.0210.0680.0580.0320.0000.0720.0940.0640.0910.0230.0520.0740.0000.0120.0710.0690.0700.0310.0720.0770.0300.0130.0240.0610.1921.0000.0330.0570.1520.0980.0730.1190.0000.0000.0410.0290.0420.0460.0520.0430.0000.0110.0240.0420.0450.0520.0550.0380.0360.0250.0670.0420.0000.0000.0000.0530.0480.0000.0270.0500.0390.0260.0370.0410.0700.0460.0340.0310.0170.0540.0400.0350.0510.0530.0430.0790.0370.0570.0510.0440.0630.0800.0540.0460.0260.0800.0670.0150.0390.0040.0900.0440.0000.0370.0050.0000.0230.0520.0650.0460.0410.0330.0780.0210.0440.0880.0170.0300.0330.0560.0380.0490.0150.0000.0480.0000.0400.0950.0580.0680.0450.0130.0000.0000.0000.0000.0590.0310.0000.0400.0250.0290.1060.0550.0730.0490.0270.0430.0470.0130.0500.0460.0560.0130.0000.0160.0000.0110.0000.0380.0320.0000.0000.0750.0000.0580.0580.0310.0300.0090.0000.0040.0480.0000.031
Symptom_Headaches_temples0.0170.0620.0220.0360.0340.0570.0600.0440.0470.0600.0130.0390.0000.0300.0590.0930.0600.0250.0470.0870.0000.0120.2200.0640.1170.0331.0000.1070.1530.1320.0600.0730.0000.0020.0600.0400.0910.0770.0240.0260.0000.0000.0290.0620.0620.0790.0560.0280.0390.0120.0380.0490.0540.0150.0000.0000.0230.0510.0320.0000.0000.0410.0390.0420.0560.0750.0710.0410.0460.0130.0730.0330.0290.0000.0250.0450.0430.0390.0520.0300.0200.0620.0570.0340.0000.0220.0290.0850.0240.0220.0640.0480.0670.0000.0000.0000.0310.0390.0870.0710.0420.0270.0590.0210.0410.0670.0600.0330.0190.0210.0210.0150.0370.0110.0290.0000.0520.0590.0660.0640.0370.0470.0000.0000.0220.0000.0350.0860.0300.0500.0260.0660.1130.0400.1070.0690.0510.0450.0140.0000.0380.0510.0680.0130.0000.0760.0000.0000.0000.0220.0160.0440.0000.0680.0000.0400.0660.0170.0540.0000.0000.0000.0370.0280.017
Symptom_Headaches_base_of_skull0.0570.0500.0600.1020.0000.0500.0710.0750.0670.0610.0720.0410.0000.0530.0300.0920.0870.0930.1030.0720.0000.0480.1080.2990.1780.0570.1071.0000.1550.1430.0000.1360.0220.0100.0490.0940.0540.0720.0850.0490.0000.0870.0430.1000.0790.0710.0860.0660.0520.0480.0240.0550.0000.0180.0000.0000.0900.0000.1190.1150.0960.1010.0810.1400.0770.0860.0780.0680.0500.0000.1180.0930.0860.0610.0890.1080.1170.0690.0930.1130.0590.1220.1700.0630.0230.0920.1010.0940.0590.0500.1240.0960.1180.0240.0670.0220.0520.0660.0900.0670.0750.0660.0400.0000.0680.1130.1310.0830.0880.0720.0880.0570.1010.0560.0790.0090.1680.1230.1410.1150.0540.1110.0380.0200.0000.0000.0450.1320.0300.0530.0170.1460.1600.1140.1620.0980.0770.0650.0000.0420.0520.0580.0860.0470.0000.0200.0080.0000.0000.0320.0000.0300.0330.1150.0380.1080.0980.0100.0390.0240.0460.0080.0770.0000.063
Symptom_Headaches_after_mental_exertion0.0830.1410.1050.1250.0000.1630.1820.1920.1620.1180.1170.1310.0000.1000.1470.2200.2530.1430.1260.1770.0490.0230.1600.1830.2390.1520.1530.1551.0000.1630.0000.1730.0000.0000.0990.0880.0850.0940.0690.0320.0420.0330.0430.0850.1060.1140.1130.1070.1080.0530.0860.0750.0530.0160.0000.0580.1140.0000.0940.1120.0560.0990.0800.1090.1320.0690.0710.0670.0790.0470.1650.0820.0960.0910.0800.1230.1290.0930.0940.0690.1050.1410.1390.0830.0490.1530.1530.0940.0610.0730.1130.0790.0550.0550.0430.0330.0940.0900.0850.0820.1130.0690.0840.0000.0870.1560.1260.0990.1120.0660.0860.0560.0750.0650.0620.0070.1450.1420.1390.1270.0960.0430.0190.0000.0870.0000.1900.0380.0250.0540.0000.1420.2560.1180.1700.1100.0900.0860.0240.0160.0710.0750.1290.0700.0000.0920.0450.0940.0000.0000.0000.0000.0100.0900.0310.0970.1150.0780.0770.0400.0000.0000.1700.0450.073
Symptom_Headaches_migraines0.0320.0620.0440.0910.0130.0820.0890.0800.0720.0870.1010.0660.0120.0000.0480.0790.0910.0460.0450.0610.0000.0000.1470.1370.1390.0980.1320.1430.1631.0000.0000.0860.0000.0190.0560.0570.0600.0700.0580.0390.0300.0530.0350.0540.0980.0710.1180.0840.0480.0190.0090.0580.0200.0170.0670.0620.0930.0890.0390.0820.0850.0810.0370.0940.0930.0970.0710.0380.0460.0460.0930.0740.0620.0730.0580.0520.0810.0660.0530.0780.0920.1040.1120.0770.0360.1110.0850.0920.0690.1030.1180.0920.0750.0500.0340.0000.0730.0860.0680.0440.0730.0770.0750.0000.0650.1180.0800.0880.0690.0580.0820.0430.0630.0720.0680.0000.1280.0920.1030.1210.0610.0600.0000.0160.0390.0000.0880.1050.0270.0480.0380.0770.1920.0880.1280.0760.0820.0550.0160.0260.0500.0570.0880.0320.0000.0590.0000.0400.0320.0000.0390.0000.0280.0860.0270.0820.0800.0750.0820.0540.0000.0380.0620.0290.096
Symptom_Headaches_other0.0000.0460.0420.0320.1650.0000.0570.0330.0330.0000.0250.0270.1190.0000.0390.0370.0600.0000.0280.0810.0600.1410.0600.0180.0310.0730.0600.0000.0000.0001.0000.0090.0000.0000.0130.0610.0310.0110.0000.0000.0000.0000.0300.0000.0130.0000.0110.0190.0000.0000.1020.0210.0310.0000.0000.0000.0000.0940.0650.0490.0330.0390.0000.0510.0000.0500.0340.0670.0000.0150.0160.0930.0000.0090.0590.0250.0110.0320.0130.0400.0180.0340.0600.0110.0000.0460.0380.0230.0000.0000.0710.0620.0170.0270.0100.0360.0000.0000.0000.0110.0000.0000.0000.1430.0030.0200.0600.0100.0560.0290.0410.0000.0000.0240.0640.1030.0210.0000.0000.0260.0310.0220.0000.0000.0500.0240.0000.0000.0000.0110.0820.0540.0260.0450.0430.0220.0480.0000.0390.0300.0290.0250.0150.1130.0000.0290.0000.0000.0000.0840.0750.0000.0080.0190.0000.0090.0000.0000.0000.0250.0690.0300.0250.0000.023
Symptom_Headaches_brain_warmth0.0220.0700.1020.0820.0000.0640.0380.0700.0820.0920.0820.0580.0000.0000.1240.1300.1070.1000.1200.1310.0360.0000.0630.1110.2250.1190.0730.1360.1730.0860.0091.0000.0240.0000.0720.0980.0640.1190.1020.0810.0620.0640.0600.0720.0970.0500.0990.0920.0810.0660.0270.0710.0310.0000.0000.0350.0310.0000.1250.1370.1400.0840.0950.1120.1010.1300.1110.0750.1000.0230.0920.0710.0460.0280.0890.1070.0860.1180.0610.1160.0930.0860.1610.0630.0700.1420.1450.0710.0600.0000.0700.0780.0870.0230.0000.0270.0000.0870.0600.0310.1090.0490.0490.0000.0840.1180.1200.0810.0780.0730.0910.0720.0750.0710.0660.0340.1450.0620.0730.1290.0610.0930.0280.0670.0590.0000.0900.0900.0900.0930.0300.1110.1300.0730.1330.0920.1280.0900.0570.0490.0910.0700.1150.0550.0000.0230.0400.0000.0350.0470.0000.0000.0190.0830.0520.0090.0900.0200.0770.0160.0000.0000.0380.0000.076
Symptom_Loss_of_smell0.0000.0230.0000.0000.0000.0000.0000.0000.0000.0300.0120.0050.0360.0000.0320.0100.0000.0000.0000.0000.0000.0000.0000.0500.0190.0000.0000.0220.0000.0000.0000.0241.0000.5280.1620.0080.0090.0000.1300.0370.0270.0000.0000.0000.0000.0000.0200.0000.0000.0090.0190.0000.0190.0470.0000.0000.0450.0160.0160.0210.0360.0000.0120.0140.0000.0290.0000.0000.0070.0000.0000.0390.0080.0290.0200.0760.0540.0390.0490.0440.0090.0460.0260.0610.0000.0000.0000.0500.0400.0050.0590.0000.0390.0000.0350.0000.0750.0430.0000.0370.0550.0000.0350.0310.0230.0570.0380.0000.0030.0000.0450.0000.0000.0290.0960.0190.0220.0150.0360.0000.0000.0430.0250.0000.0000.0000.0150.0210.0000.0000.0000.0350.0270.0350.0410.0570.0000.0000.0000.0330.0230.0220.0300.0570.0000.0000.0150.0360.0000.0610.0000.0000.0080.0090.0000.0200.0000.0000.0480.0000.0520.0000.0490.0000.083
Symptom_Loss_of_taste0.0000.0290.0000.0180.0000.0120.0000.0000.0000.0480.0180.0240.0110.0580.0090.0000.0000.0550.0000.0100.0000.0370.0000.0150.0000.0000.0020.0100.0000.0190.0000.0000.5281.0000.1050.0000.0000.0330.1130.0000.0000.0000.0000.0370.0250.0570.0520.0150.0440.0110.0000.0000.0000.0000.0000.0300.0000.0000.0020.0000.0280.0220.0000.0000.0400.0180.0000.0000.0000.0590.0000.0320.0000.0050.0000.0230.0490.0100.0300.0360.0000.0240.0000.0240.0000.0000.0000.0340.0000.0000.0300.0570.0280.0140.0460.0000.0000.0000.0180.0360.0370.0230.0100.0000.0370.0190.0000.0000.0000.0000.0160.0090.0000.0330.0560.0500.0130.0000.0100.0230.0000.0070.0240.0000.0120.0000.0000.0240.0160.0510.0000.0000.0000.0000.0210.0330.0000.0000.0160.0000.0000.0000.0000.0270.0000.0420.0150.0000.0330.0200.0000.0000.0110.0380.0000.0000.0230.0240.0650.0280.0320.0000.0270.0000.069
Symptom_Altered_taste0.0480.1110.0700.0870.0260.0210.0550.0840.0640.0450.0770.0520.0270.0290.0970.1450.1310.0760.0450.1200.0430.0150.0710.0870.0620.0410.0600.0490.0990.0560.0130.0720.1620.1051.0000.1090.3900.1530.0550.1000.0000.0000.0000.0480.0390.0810.0510.0480.0710.0000.0690.0320.0290.0330.0000.1130.0550.0000.0620.0810.0500.0650.0400.0860.0220.0460.0360.0220.0000.0340.0880.0370.0460.0370.0680.0640.0380.0110.0580.0340.0540.0770.0810.0440.0260.0590.0690.0460.0700.0520.1140.0990.0680.0460.0590.0000.0260.0000.0650.0600.0400.0740.0810.0000.0570.0480.0650.0600.0840.0680.0620.0410.0360.0300.0910.0600.0390.0630.0770.0650.0530.0540.0600.0000.0210.0000.0840.0240.0760.0490.0170.0940.1220.0680.1010.1030.0520.0660.0140.0280.0720.0230.1170.0610.0000.0140.0560.0000.0000.0750.0000.0300.0760.0180.0550.0310.0750.0440.0770.0000.0000.0000.0000.0000.055
Symptom_Phantom_smell0.0740.1110.0670.1250.0100.0830.0900.0970.0520.0790.1420.0570.0150.0490.0570.1260.1310.1100.0990.0990.0000.0000.0570.1070.0940.0290.0400.0940.0880.0570.0610.0980.0080.0000.1091.0000.2130.3650.1640.0890.0510.0370.0490.0980.1020.0900.0960.0940.0900.0470.0710.0330.0000.0000.0000.1180.1870.0000.1470.1170.0790.1130.0970.1390.0480.0900.0890.0460.0470.0500.1370.0290.0670.0650.1180.1040.1070.1230.1060.1250.0570.1060.1780.0570.0620.1040.1290.0790.1060.0890.1210.0650.1210.0460.0680.0000.0280.0760.1110.0780.0860.0770.0910.0000.0810.1210.1400.1050.1330.1050.1410.1090.1170.0480.1390.0460.1060.1160.1390.1640.0780.0780.0430.0000.0500.0000.1040.0900.0670.0730.0000.1450.1360.1030.1320.1340.0800.0960.0110.0420.0630.0640.1680.0560.0000.0220.0550.0620.0000.0350.0130.0470.0520.0840.0680.1250.1160.0330.0630.0090.0280.0330.0400.0080.060
Symptom_Altered_smell0.0360.0930.0790.1120.0310.0420.0630.0750.0080.0730.0910.0120.0080.0000.0640.1250.1360.0630.0670.1260.0270.0000.0580.0870.0760.0420.0910.0540.0850.0600.0310.0640.0090.0000.3900.2131.0000.1920.0990.0960.0400.0000.0000.0590.0530.0840.0610.0300.0890.0250.0490.0320.0250.0180.0000.0290.0820.0000.0550.0760.0520.0190.0450.0760.0360.0000.0000.0180.0170.0160.0740.0410.0060.0000.0630.0250.0410.0000.0520.0310.0340.0570.0560.0000.0000.0640.0740.0540.0240.0440.0740.0560.0450.0000.0420.0130.0000.0000.0570.0480.0170.0520.0450.0000.0890.0640.0490.0640.0720.0790.0360.0270.0350.0290.0690.0360.0460.0550.0630.0570.0680.0480.0170.0270.0410.0000.0840.0330.0540.0880.0580.0520.1020.0350.0750.0640.0370.0580.0000.0180.0400.0630.0900.0400.0000.0230.0000.0260.0000.0380.0000.0310.0360.0240.0390.0000.1020.0570.0860.0300.0000.0000.0000.0000.058
Symptom_Phantom_taste0.0280.0910.0920.1490.0000.0520.0760.0910.0670.1150.1530.0360.0230.0300.0910.1190.1190.1370.1210.1020.0530.0000.0970.1120.1140.0460.0770.0720.0940.0700.0110.1190.0000.0330.1530.3650.1921.0000.1070.1530.0390.0000.0230.0890.1120.0860.1020.0930.1050.0710.0490.0240.0000.0580.0000.0840.1960.0000.1230.1140.0850.0960.0830.1160.0390.1070.0860.0450.0910.0770.1040.0220.0560.0240.1060.0700.0700.0860.0520.1300.0810.0680.1330.0430.0670.1300.1340.0720.0660.0950.0960.0610.1120.0000.0470.0670.0000.0470.0930.0640.0790.0830.0630.0000.1040.1130.1090.0810.1070.1100.1000.0970.1240.0600.1030.0220.1090.0710.1280.1450.0960.0580.0370.0580.0770.0570.0690.1110.0960.1310.0740.1150.1180.0770.1350.1140.0900.1340.0540.0350.0890.0870.1120.0320.0000.0370.0000.0480.0000.0250.0000.0250.0500.0900.1210.0750.0930.0420.0940.0440.0000.0420.0100.0190.061
Symptom_Heightened_smell0.0470.0250.0330.0890.0000.0550.0440.0530.0820.0690.0890.0210.0260.0160.0690.0880.1080.0840.0800.0710.0350.0000.0500.1170.0830.0520.0240.0850.0690.0580.0000.1020.1300.1130.0550.1640.0990.1071.0000.3960.0610.0340.0400.0550.0760.0940.0850.0700.1030.0420.0000.0000.0300.0220.0440.0350.0000.0130.1200.0810.1010.0590.0680.0920.0370.0580.0460.0590.0900.0330.1190.0690.0770.0400.1320.0990.1100.0880.1040.1210.0850.0940.1080.0630.0830.0760.1140.1060.0870.0670.1110.0730.1240.0000.0350.0540.0410.0740.0870.0620.0750.0240.0770.0000.0720.0960.1070.0990.1080.0730.1050.0530.1240.1130.1270.0180.0900.0720.0980.1250.0580.0920.0520.0120.0730.0300.1600.0810.0710.0710.0000.1020.1510.0950.1150.0760.0970.0880.0410.0780.1200.0910.1060.0640.0000.0460.0000.0000.0000.0530.0000.0250.0470.0560.0490.0230.0290.0800.0370.0970.0000.0270.0550.0000.092
Symptom_Heightened_taste0.0290.0630.0570.0860.0000.0480.0560.0650.0570.0750.1180.0190.0260.0280.0910.1060.0940.0590.0670.0710.0750.0000.0430.0670.0480.0430.0260.0490.0320.0390.0000.0810.0370.0000.1000.0890.0960.1530.3961.0000.0330.0000.0260.0660.0610.0980.0800.0490.0810.0120.0000.0190.0000.0570.0000.0570.0000.0170.0830.0920.1060.0540.0700.0850.0400.0370.0710.0000.0270.0250.1050.0490.0690.0300.0830.0680.0730.0830.0600.0870.0620.0780.0850.0420.0760.1080.1120.0680.0660.0810.0970.0790.0720.0000.0410.0590.0290.0380.0700.0510.0320.0420.0390.0000.0930.0620.0760.0720.0770.0560.0850.0320.0790.0930.0660.0190.1020.0780.1040.1340.0640.0460.0060.0000.0680.0260.0980.0640.0570.0920.0110.0830.1100.0590.0830.0690.0540.0840.0370.0310.0860.0320.0710.0410.0000.0680.0000.0000.0150.0500.0000.0400.0410.0430.0560.0190.0690.0520.0330.0730.0000.0560.0400.0190.078
Symptom_Vibrating_sensations0.0350.0200.0000.0000.0000.0000.0230.0000.0350.0390.0340.0000.0000.0000.0600.0000.0180.0270.0300.0210.0000.0000.0260.0300.0480.0000.0000.0000.0420.0300.0000.0620.0270.0000.0000.0510.0400.0390.0610.0331.0000.3000.0000.0000.0860.0620.0000.0490.0470.0350.0800.0000.0050.0500.0460.0000.0950.0820.1380.1030.0570.0460.1540.1480.0000.0370.0360.0440.0240.0000.0030.0340.0210.0120.0590.0290.0280.0440.0820.0880.0290.0210.0790.0000.0130.0440.0570.0000.0230.0000.0200.0000.0400.0560.0220.0000.0170.0670.0290.0000.0920.0290.0370.0000.0190.0700.0600.0750.0360.0400.0390.0550.0000.0040.0000.0260.0350.0330.0580.0890.0230.0590.0330.0660.0510.0000.0410.0160.0690.0140.0000.0650.0860.0530.0330.0340.0510.0450.0000.0300.0700.0700.0480.0440.0430.0430.0000.0000.0000.0000.0400.0090.0000.0310.0680.0000.0530.0450.0360.0000.0000.0180.0150.0000.049
Symptom_Tremors0.0000.0420.0690.0120.0000.0300.0000.0370.0290.0080.0800.0000.0000.0000.0000.0000.0260.0520.0690.0140.0000.0000.0000.0340.0840.0110.0000.0870.0330.0530.0000.0640.0000.0000.0000.0370.0000.0000.0340.0000.3001.0000.1680.0800.0200.0000.0720.0510.0110.0630.1190.0820.0070.0360.0000.0630.0310.0000.0320.0620.0850.0800.0020.0600.0980.0450.0620.0190.0690.0190.0460.0000.0600.0180.0410.0350.0760.0370.0000.0770.0710.0500.0900.0480.0510.0910.0940.0810.0530.0660.0640.0690.0550.0250.0320.0430.0000.0000.0320.0530.0270.0520.0000.0470.0490.0400.0900.0080.0370.0310.0760.0450.0720.0160.0840.0480.2050.0500.0510.0660.0450.0600.0480.0000.0230.0280.0540.0600.0430.0810.0000.0870.0850.0460.0590.0450.0650.0610.0420.0470.0330.0230.0330.0000.0000.0000.0660.0640.0810.0580.0000.0000.0000.0000.0300.0520.0350.0000.0750.0000.0360.0270.0000.0120.061
Symptom_Insomnia0.0000.0220.0000.0000.0390.0000.0100.0200.0000.0350.0140.0310.0000.0390.0240.0290.0420.0480.0000.0410.0000.0000.0540.0120.0350.0240.0290.0430.0430.0350.0300.0600.0000.0000.0000.0490.0000.0230.0400.0260.0000.1681.0000.0730.0480.0000.0440.0890.0070.0870.2411.0001.0001.0000.0540.0000.0000.0190.0490.0850.0500.0430.0410.0700.0410.0520.0570.0150.0440.0050.0660.0000.1010.0350.0700.0460.0960.0480.0320.0430.0370.0690.0860.0220.0420.0600.0600.0870.0480.0190.0610.0690.0630.0310.0450.0200.0300.0230.0460.0350.0440.0410.0440.0410.0420.0620.0970.0500.0370.0450.0560.0180.0290.0440.0180.0060.1040.0640.0820.0610.0790.0280.0000.0270.0090.0000.0270.0310.0280.0280.0000.0890.0510.0620.0810.0690.0390.0360.0040.0410.0590.0000.0550.0100.0000.0000.0000.0130.0170.0260.0000.0240.0000.0370.0000.0190.0000.0000.0560.0470.0000.0190.0460.0270.060
Symptom_Night_sweats0.0200.0870.0550.0920.0000.0600.0640.0620.0380.0900.0680.0210.0000.0460.0800.0570.0710.1210.0890.0800.0000.0000.0920.1240.1130.0420.0620.1000.0850.0540.0000.0720.0000.0370.0480.0980.0590.0890.0550.0660.0000.0800.0731.0000.0950.1560.1720.1200.1010.0680.1350.0000.0340.0630.0230.0000.0410.0000.1150.0820.0330.1390.0830.0980.0900.0660.0480.0480.0390.1050.1430.0850.1840.1170.1240.3150.1020.0450.0920.1310.0670.1230.1340.0600.0640.1210.1000.1020.1270.0770.1300.1120.1290.0590.0570.0640.0520.0850.1210.0990.0970.0590.1170.0090.0860.1040.1370.0920.0800.0960.1270.0770.1260.0540.1150.0270.1510.1500.1460.1360.0860.0950.0470.0360.0300.0340.0940.0790.0730.1140.0090.1570.1420.1170.1250.1230.0780.0410.0100.0720.1030.0950.1150.0530.0400.0480.0000.0650.0370.0000.0170.0370.0000.0800.0810.1020.0920.0100.0680.0250.0000.0000.0870.0430.078
Symptom_Awakened_cannot_breathe0.0490.0210.0290.0950.0000.0790.0490.0700.0370.0730.0950.0420.0000.0000.0930.0890.0810.0880.0650.0910.0470.0000.0660.1190.1290.0450.0620.0790.1060.0980.0130.0970.0000.0250.0390.1020.0530.1120.0760.0610.0860.0200.0480.0951.0000.0620.1380.0990.0720.2190.1200.0230.0000.0830.0570.0550.0490.0000.1000.1220.1110.1160.1140.1500.0970.0790.0780.0380.0770.0550.0720.0400.1210.0490.1020.1160.1740.1290.1780.1630.0910.1110.1450.3240.1160.1300.1070.0560.0940.0780.1070.0940.1180.1120.0780.0980.2490.2530.0730.0510.2230.1570.1210.0000.0730.0930.0960.1030.0600.0820.1400.0760.0720.0910.0840.0020.1490.0830.1120.1390.0520.1630.0780.0950.0290.0820.0740.0780.0740.1170.0000.1110.1280.0960.1100.0930.0860.0570.0340.0780.0820.0960.0820.0220.0000.0490.0000.0250.0520.0000.0000.0330.0200.0840.0410.0290.0950.0330.0470.0710.0000.0000.1010.0060.072
Symptom_Vivid_dreams0.0670.0770.0600.0670.0050.0660.0960.0960.0710.0840.0990.0440.0000.0820.1000.1160.0830.1260.0520.1210.0150.0000.0790.0900.0700.0520.0790.0710.1140.0710.0000.0500.0000.0570.0810.0900.0840.0860.0940.0980.0620.0000.0000.1560.0621.0000.3960.0790.3440.0570.1600.0270.0540.0690.0000.0670.0700.0000.0980.0790.0280.0790.0660.0910.0430.0510.0290.0200.0240.0440.1320.0610.0710.0550.0790.1130.0690.0500.0860.0670.0440.0960.0800.0450.0380.1030.1070.0820.0910.0640.1040.0790.0820.0000.0410.0300.0750.0620.1090.0750.0610.0830.0680.0000.0580.1280.0960.0850.1000.0760.0590.0490.0760.0490.0630.0000.1030.0820.0900.0750.0750.0510.0000.0430.0610.0090.0620.0500.0610.0360.0190.1100.1190.1060.0860.1280.0600.0630.0100.0530.1020.0540.1240.0360.0000.0620.0000.0100.0000.0000.0000.0400.0120.0300.0890.0520.1060.0440.0570.0180.0000.0000.0640.0190.035
Symptom_Nightmares0.0580.0770.0800.0970.0000.0890.1020.0860.0760.0890.1040.0560.0060.0230.0800.0730.1130.1150.1000.0970.0530.0000.0690.0890.1060.0550.0560.0860.1130.1180.0110.0990.0200.0520.0510.0960.0610.1020.0850.0800.0000.0720.0440.1720.1380.3961.0000.0780.2680.0660.1080.0680.0590.0690.0920.0860.0000.0000.1060.0860.0950.0680.0780.1430.0650.0800.0780.0370.0490.0840.1250.0240.0780.0820.0760.1080.1000.0700.0960.1060.0980.0940.1300.0960.0170.1560.1340.0940.1210.0800.1210.1090.1210.0360.0580.0690.0770.0790.1040.0740.1030.0840.1010.0240.0730.1340.0960.0920.0930.0900.1050.0790.0800.0750.0960.0180.1230.0900.0990.0990.0920.0800.0190.0340.0610.0640.1070.0620.0790.0630.0000.1050.1570.1120.1200.1190.0760.0590.0610.0610.0920.0750.1470.0420.0000.0280.0000.0300.0000.0140.0000.0440.0000.0630.0790.0400.0960.0440.0740.0510.0000.0000.0570.0220.051
Symptom_Restless_leg0.0730.0670.0590.0780.0000.0610.0820.0690.0410.1010.0980.0490.0240.0700.0880.0850.1040.1220.0930.0630.0110.0370.0620.1160.1200.0380.0280.0660.1070.0840.0190.0920.0000.0150.0480.0940.0300.0930.0700.0490.0490.0510.0890.1200.0990.0790.0781.0000.1120.0980.0600.0610.0000.0500.0000.0800.1220.0240.1240.1120.0950.1080.1310.1530.1080.0380.0590.0050.0640.0440.1280.0160.0600.0310.0660.0830.0740.0370.0740.0940.0930.0860.1810.0530.0370.0890.1020.0790.0620.0770.0930.0260.0980.0410.0490.0510.0530.0510.0860.0680.0510.0980.0490.0110.0890.0960.1110.0480.0880.0710.0850.0720.0980.0460.0840.0000.1990.1420.1420.1500.0510.0620.0520.0000.0280.0380.0750.0230.0000.0650.0100.1050.1190.0880.0990.1270.0540.0550.0130.0390.0540.0660.1250.0320.0000.0230.0410.0500.0400.0370.0000.0330.0000.0310.0640.0900.0680.0000.0790.0000.0000.0250.0620.0390.054
Symptom_Lucid_dreams0.0670.0660.0600.0830.0000.0900.0540.0950.0370.1060.1100.0270.0000.0510.0730.0770.1060.0840.0830.1240.0400.0000.0720.0780.1000.0360.0390.0520.1080.0480.0000.0810.0000.0440.0710.0900.0890.1050.1030.0810.0470.0110.0070.1010.0720.3440.2680.1121.0000.0510.0850.0440.0580.0410.0000.1120.0000.0110.0660.0450.0600.0620.0420.0890.0550.0370.0370.0330.0380.0000.0720.0460.0340.0450.0750.0610.0530.0400.0410.0560.0470.0710.0770.0150.0340.1100.0880.0760.0650.0620.0760.0460.0580.0000.0440.0320.0320.0400.0810.0440.0420.0710.0230.0230.0860.0690.0740.0440.0650.0710.0540.0440.0840.0240.0620.0000.0990.0500.0830.0920.0580.0490.0110.0280.0460.0130.0230.0420.0570.0640.0160.1000.1140.0990.0700.0960.0490.0250.0280.0680.0780.0430.1200.0290.0330.0100.0000.0620.0000.0000.0370.0040.0200.0130.0890.0460.1020.0000.0840.0000.0000.0000.0000.0000.004
Symptom_Sleep_apnea0.0200.0420.0530.0750.0080.0220.0410.0400.0260.0250.0520.0000.0060.0000.0510.0270.0490.0750.0440.0460.0530.0000.0240.0670.0710.0250.0120.0480.0530.0190.0000.0660.0090.0110.0000.0470.0250.0710.0420.0120.0350.0630.0870.0680.2190.0570.0660.0980.0511.0000.0630.0000.0000.0290.0000.1150.0450.0000.0830.0700.0710.0620.0710.0720.0490.0530.0320.0230.0540.0000.0680.0480.0470.0290.0770.0670.0790.0800.0420.1040.0570.0490.1020.0670.0960.1020.1210.0550.0420.0520.0470.0210.0880.0000.0430.0670.0360.0400.0610.0470.0520.1020.0250.0000.0660.0710.0890.0260.0870.0730.0640.0510.0660.0740.0400.0000.1000.0360.0700.0840.0000.0740.0700.0470.0560.0520.0510.0060.0370.0510.0320.0670.0770.0530.0670.0510.0650.0630.0490.0480.0500.0390.0620.0230.0000.0340.0840.0780.0360.0320.0410.0000.0000.0360.0530.0000.0850.0370.0720.0760.0090.0000.0140.0000.082
Symptom_Sleep_other0.0290.0770.0330.0570.0970.0750.0810.0840.0610.0210.0370.0350.1120.0380.0970.1010.0910.0110.0120.0680.0770.0530.0510.0640.0550.0670.0380.0240.0860.0090.1020.0270.0190.0000.0690.0710.0490.0490.0000.0000.0800.1190.2410.1350.1200.1600.1080.0600.0850.0631.0000.0800.0130.0300.0000.0320.0360.0440.0660.0550.0170.0700.0530.0500.0380.0230.0000.0420.0000.0000.0700.1670.0000.0880.0890.1460.0380.0420.1350.0600.0000.0850.0300.0970.0450.0800.0590.0310.0620.0150.0830.0920.0730.0540.0530.0260.0830.0700.0820.0970.0650.0520.0810.0890.0000.0940.0540.0280.0580.0310.0250.0490.0320.0310.0690.0650.0460.0720.0590.0590.0300.0320.0000.0000.0210.0180.0430.0000.0250.0080.0490.0690.0780.0800.0560.0750.0160.0130.0000.0270.0380.0300.0610.0990.0000.0000.0000.0000.0000.0360.0280.0000.0320.0230.0000.0000.0750.0620.0000.0000.0270.0000.0700.0260.023
Symptom_Difficulty_falling_asleep0.0410.0490.0200.0490.0000.1300.0710.0680.0670.0760.0800.0360.0220.0220.0630.0570.0650.0470.0150.0860.0000.0000.0170.0270.0480.0420.0490.0550.0750.0580.0210.0710.0000.0000.0320.0330.0320.0240.0000.0190.0000.0821.0000.0000.0230.0270.0680.0610.0440.0000.0801.0000.0000.1390.0000.0510.0150.0640.0450.0220.0330.0250.0390.0500.0850.0000.0210.0440.0000.0400.0870.0130.0310.0590.0000.0630.0470.0150.0470.0450.0380.0610.0720.0580.0460.0740.0780.0480.0480.0310.0610.0500.0290.0180.0340.0000.0470.0400.0710.0590.0420.0420.0430.0000.0080.0240.0470.0470.0410.0350.0200.0340.0450.0280.0000.0180.0760.0650.0400.0700.0150.0250.0330.0240.0490.0000.0610.0310.0000.0300.0240.0440.0820.0390.0540.0320.0650.0330.0000.0000.0290.0330.0410.0000.0000.0120.0000.0210.0000.0000.0660.0000.0250.0610.0000.0000.0100.0320.0600.0080.0000.0000.0000.0000.000
Symptom_Waking_up_early0.0110.0540.0770.0320.0270.0620.0720.0560.0710.0400.0450.0340.0000.0000.0520.0300.0600.0560.0290.0850.0150.0320.0000.0000.0470.0000.0540.0000.0530.0200.0310.0310.0190.0000.0290.0000.0250.0000.0300.0000.0050.0071.0000.0340.0000.0540.0590.0000.0580.0000.0130.0001.0000.0230.0000.0000.0720.0000.0290.0430.0160.0430.0000.0140.0200.0730.0360.0200.0340.0000.0700.0510.0000.0000.0160.0350.0000.0120.0230.0290.0000.0000.0000.0000.0000.0320.0420.0000.0190.0000.0380.0350.0210.0000.0000.0180.0230.0000.0560.0740.0510.0000.0270.0000.0540.0000.0510.0410.0220.0500.0480.0340.0190.0200.0280.0190.0000.0000.0000.0000.0570.0000.0000.0110.0480.0280.0530.0290.0060.0370.0350.0630.0830.0530.0340.0370.0440.0540.0000.0300.0480.0300.0560.0790.0000.0000.0200.0000.0000.0000.0000.0000.0570.0000.0590.0500.0730.0000.0240.0160.0000.0000.0240.0000.030
Symptom_Waking_up_in_night0.0000.0440.0000.0310.0000.0000.0360.0290.0150.0100.0000.0170.0390.0260.0000.0000.0000.0000.0620.0160.0000.0000.0470.0300.0230.0000.0150.0180.0160.0170.0000.0000.0470.0000.0330.0000.0180.0580.0220.0570.0500.0361.0000.0630.0830.0690.0690.0500.0410.0290.0300.1390.0231.0000.0000.0000.0000.0000.0270.0000.0000.0440.0000.0300.0000.0000.0000.0000.0000.0220.0070.0150.0390.0400.0300.0550.0000.0160.0270.0000.0240.0460.0580.0000.0000.0140.0220.0280.0310.0000.0200.0250.0460.0370.0220.0000.0000.0270.0290.0520.0170.0160.0440.0270.0000.0470.0450.0000.0380.0270.0530.0140.0000.0020.0290.0000.0260.0300.0460.0310.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0060.0420.0350.0730.0000.0000.0000.0350.0180.0040.0280.0000.0000.0000.0000.0000.0000.0000.0560.0000.0310.0220.0000.0350.0000.0090.0000.0000.0000.0000.0450.0000.000
Symptom_Hallucinations_visual0.0600.0000.0000.0940.0310.0440.0000.0000.0170.0260.0000.0380.0000.0000.0340.0440.0590.0000.0570.0180.0000.0000.0780.0000.0000.0000.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0000.0000.0440.0000.0460.0000.0540.0230.0570.0000.0920.0000.0000.0000.0000.0000.0000.0001.0000.2040.1660.2320.0000.0400.0510.0000.0000.0000.0000.0490.0000.0000.0700.0560.0000.0000.0000.0000.0670.0000.0180.0610.0000.0700.0520.0460.0000.0100.0720.0360.0670.0000.0000.0660.0000.0520.0000.0000.0000.0400.0000.0000.0330.0000.0000.0120.0000.0000.0000.0260.0750.0060.0000.0000.0000.0220.0420.0810.0240.0000.0320.0000.0000.0180.0000.0000.0740.0000.0000.0000.0630.0000.0000.0000.0000.0580.0560.0000.0350.0450.0720.0470.0000.0000.0350.0000.1800.0520.0000.0560.0000.0920.0000.0000.0000.0480.0460.0000.0340.0000.0600.0280.0000.0170.0000.0000.0000.0000.016
Symptom_Hallucinations_auditory0.0000.0970.0820.0860.0000.0790.0980.0880.0070.1030.1460.0000.0330.0470.0960.0320.0590.0670.0620.0630.0460.0000.0180.0930.0400.0530.0000.0000.0580.0620.0000.0350.0000.0300.1130.1180.0290.0840.0350.0570.0000.0630.0000.0000.0550.0670.0860.0800.1120.1150.0320.0510.0000.0000.2041.0000.0000.1480.0710.0790.0770.0160.0370.0850.0360.0580.0770.0000.0700.1000.1300.0270.0170.0320.0000.0320.0000.0490.0210.0810.0640.0270.1310.0770.0490.1030.1350.0750.0000.0290.0490.0280.0880.0000.0540.0350.0160.0000.0760.0640.0000.1200.0000.0000.0760.1030.0610.0340.0990.0170.1230.0800.1610.0000.1370.0000.1280.0560.0920.1030.0980.0870.0000.0000.0770.0000.0890.0000.0250.1000.0550.0870.1040.1070.0260.0820.1470.0910.0490.0290.0930.1030.0000.0280.0900.0650.0200.0960.0000.0000.0000.0000.0700.0000.0330.0440.0780.0000.0670.0000.0490.0130.0000.0000.019
Symptom_Hallucinations_tactile0.0600.0510.0950.0640.0000.0000.0630.0530.0850.0450.0840.0370.0000.0000.0000.0830.1160.0470.1460.0680.0000.0530.0000.1020.0860.0480.0230.0900.1140.0930.0000.0310.0450.0000.0550.1870.0820.1960.0000.0000.0950.0310.0000.0410.0490.0700.0000.1220.0000.0450.0360.0150.0720.0000.1660.0001.0000.0460.1770.1390.0680.1230.1130.2030.0700.1200.0990.1180.0050.0240.0950.0680.0000.0300.0080.0780.0950.0680.1110.1050.1150.0000.1230.0000.0000.0360.0990.0800.0540.0770.0280.0000.0720.0430.0580.0850.0000.0250.0940.0000.0610.0960.0620.0630.1110.0770.0730.0000.1340.1300.1510.1430.1130.0000.0650.0360.1140.0140.0870.1240.0500.0550.0110.0580.0560.0790.0000.0490.0650.1100.0000.0680.0790.0140.0660.1230.0920.1260.1040.0260.0760.0800.0180.0360.0780.0000.0000.0690.0520.0000.0000.0000.0000.0000.1130.1550.0880.0000.0680.0000.0000.0000.0670.0000.058
Symptom_Hallucinations_other0.0000.0180.0000.0000.1130.0160.0000.0000.0000.0520.0650.0000.1710.0740.0000.0000.0000.0000.0000.0000.0000.0770.0640.0000.0000.0000.0510.0000.0000.0890.0940.0000.0160.0000.0000.0000.0000.0000.0130.0170.0820.0000.0190.0000.0000.0000.0000.0240.0110.0000.0440.0640.0000.0000.2320.1480.0461.0000.0000.0000.0420.0000.0000.0010.0000.0000.0000.0000.0000.0800.0190.0580.0360.0000.0000.0000.0550.0000.0000.0670.0000.0000.0380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0580.0000.0000.0230.0000.0000.0000.0000.1090.0370.0000.0000.0000.0470.0000.0210.0390.0580.0000.0000.0630.0250.0000.0540.0300.0000.0000.0340.0240.0000.0670.0460.0000.0000.0000.0000.0160.0000.0240.0170.0390.0000.0000.0000.0000.0000.0000.0440.0760.0000.0800.0000.0000.0000.1690.0560.0000.0000.0000.0000.0000.0210.0000.0000.0000.0730.0000.0000.0000.000
Symptom_Sensations_skin_burning_no_rash0.0300.0800.0390.1140.0000.0800.0970.0940.0600.0960.0940.0390.0290.0490.0450.1150.1120.0530.1030.0830.0190.0000.0940.1210.1280.0270.0320.1190.0940.0390.0650.1250.0160.0020.0620.1470.0550.1230.1200.0830.1380.0320.0490.1150.1000.0980.1060.1240.0660.0830.0660.0450.0290.0270.0000.0710.1770.0001.0000.3060.1270.1190.2950.2290.0090.1140.1070.0670.0610.0330.1480.0920.1110.0740.1200.1570.1070.0990.1230.1860.0690.1040.2920.0950.0800.1310.1430.1240.1410.0620.1370.0850.1380.0510.0420.0540.0570.0850.0990.0680.1350.0720.0710.0080.0840.1600.1760.0770.1270.1520.1660.1400.1550.1160.2010.0930.2160.1090.1610.2110.1000.1260.0520.0680.0410.0340.0950.0870.0810.1110.0330.1810.1850.1640.1710.1400.1090.0830.0400.1040.1150.1020.1490.0930.0530.0000.0140.0400.0000.0770.0090.0000.0290.0760.0900.2970.0980.0130.0930.0210.0000.0000.0490.0000.104
Symptom_Sensations_numbness_loss_sensation0.0640.0620.0650.0990.0000.0870.0710.0940.0900.0530.0810.0490.0000.0140.1010.0910.1120.0660.0840.1160.0000.0200.0440.1120.1370.0500.0000.1150.1120.0820.0490.1370.0210.0000.0810.1170.0760.1140.0810.0920.1030.0620.0850.0820.1220.0790.0860.1120.0450.0700.0550.0220.0430.0000.0400.0790.1390.0000.3061.0000.2420.1560.2970.2030.0840.1600.1550.1330.1240.0000.1320.0890.0980.0350.1060.1090.1280.0860.0940.1980.1030.1450.2690.0890.0850.1470.1700.1110.0990.0890.1440.0970.1260.0470.0460.0530.0620.0860.0780.0670.1080.0810.0660.0180.1120.1290.1690.0890.1320.1270.1460.1460.1050.0700.1080.0430.2220.1150.1480.1450.1090.1040.0560.0960.0550.0100.0580.1140.0920.1970.0110.1700.1510.1270.1490.1290.1070.1050.0710.0990.0980.0890.1240.0790.0000.0250.0440.0690.0000.0680.0270.0040.0000.1010.0630.0580.1090.0060.1140.0530.0390.0040.0660.0000.095
Symptom_Sensations_numbness_one_sided_weakness0.0120.0450.0760.0750.0220.0600.0380.0460.0550.0600.0830.0180.0200.0000.0500.0530.0820.0610.0990.1020.0100.0000.0000.0710.1460.0390.0000.0960.0560.0850.0330.1400.0360.0280.0500.0790.0520.0850.1010.1060.0570.0850.0500.0330.1110.0280.0950.0950.0600.0710.0170.0330.0160.0000.0510.0770.0680.0420.1270.2421.0000.1360.1410.1630.1230.2490.1910.0840.1950.0320.0620.0530.0420.0160.0820.0610.1020.1010.0990.1480.1190.0990.1880.1020.0820.1390.1620.0830.0610.0680.0900.0440.0670.0250.0160.0380.0520.0850.0450.0090.1020.0400.0510.0000.0740.1100.1470.0680.1040.1000.1090.1100.0990.0690.0740.0230.1550.0730.0940.1190.0720.0490.0480.0960.0720.0170.0900.0680.0350.1960.0310.1410.1270.0870.1220.1050.1310.0990.0820.0740.0670.0760.1210.0470.0000.0540.0400.0490.0000.0140.0000.0000.0380.0770.0000.0000.0150.0000.0770.0460.0000.0320.0410.0000.081
Symptom_Sensations_coldness0.0380.0830.0490.0910.0000.0450.0490.0860.0780.0480.1010.0480.0150.0550.0810.1090.0740.0750.0650.1130.0290.0210.0470.1180.1330.0260.0410.1010.0990.0810.0390.0840.0000.0220.0650.1130.0190.0960.0590.0540.0460.0800.0430.1390.1160.0790.0680.1080.0620.0620.0700.0250.0430.0440.0000.0160.1230.0000.1190.1560.1361.0000.1090.1600.1140.0830.1150.1000.0890.0000.1400.2230.1380.0650.2410.2590.1250.1170.1170.1470.0830.1310.1630.0640.0780.1340.1290.1190.1110.0680.1400.1210.1380.0470.0660.0380.0690.0770.1150.0910.0850.1170.1000.0110.0850.1510.1580.0980.1210.1020.1110.1310.1090.0830.1120.0390.1550.1190.1190.1440.1070.0980.0600.0440.0470.0120.1350.0470.0550.0730.0000.1740.1770.1520.1320.1660.0950.0880.0520.0930.1270.1080.1400.1040.0270.0460.0200.0280.0220.0530.0470.0070.0510.0610.0830.0730.1190.0350.0830.0680.0300.0260.0760.0000.120
Symptom_Sensations_tingling_prickling0.0500.0450.0490.0460.0000.0690.0600.0650.0620.0510.0720.0570.0000.0610.0590.1000.0900.0360.0620.0910.0300.0360.0670.1240.1010.0370.0390.0810.0800.0370.0000.0950.0120.0000.0400.0970.0450.0830.0680.0700.1540.0020.0410.0830.1140.0660.0780.1310.0420.0710.0530.0390.0000.0000.0000.0370.1130.0000.2950.2970.1410.1091.0000.2280.0190.0870.1000.0810.0820.0300.1090.0670.0780.0390.1020.0980.1500.0910.1540.1640.0950.1100.2710.0740.0330.0880.1220.0950.1060.0630.0930.0730.0960.0460.0530.0240.0500.1100.0910.0710.1600.0660.0740.0190.0410.1300.1460.1030.1210.1060.1080.1080.0800.0700.0790.0340.1960.1060.1330.1260.0680.1190.0540.0570.0440.0130.0560.0600.0690.1000.0000.1540.1440.1080.1100.1080.0900.0830.0410.0420.0890.0890.0920.0610.0120.0470.0000.0220.0000.0390.0280.0000.0000.0690.0610.0450.0890.0250.1140.0330.0150.0070.0810.0000.084
Symptom_Sensations_electrical_zaps0.0650.0680.0840.1070.0250.0840.0940.0760.1060.0700.1170.0410.0200.0470.0760.1090.1400.0790.1040.1000.0000.0000.0730.1440.1520.0410.0420.1400.1090.0940.0510.1120.0140.0000.0860.1390.0760.1160.0920.0850.1480.0600.0700.0980.1500.0910.1430.1530.0890.0720.0500.0500.0140.0300.0000.0850.2030.0010.2290.2030.1630.1600.2281.0000.0930.1340.1480.0970.0910.0000.1470.1080.1040.0420.1260.1420.1500.1300.1450.1810.1330.1400.3280.1110.0710.1500.1520.0960.1020.1060.1260.0880.1130.0410.0520.0340.0720.0920.0890.0590.1180.0780.0800.0320.0940.1600.2010.1040.1550.1030.1340.1130.1120.0920.1350.0310.2900.1150.1460.1970.0860.0940.0420.1030.0740.0000.1050.0920.0960.0930.0470.2160.1750.1580.1500.1500.1430.1050.0510.0940.1060.1000.1590.0940.0410.0510.0180.0290.0000.0790.0060.0000.0150.0590.0850.0860.1060.0580.1070.0560.0290.0400.0500.0000.097
Symptom_Sensations_weakness0.0130.1000.0670.0770.0000.0930.1040.1140.0880.0410.0790.0630.0140.0000.0900.0770.0990.0990.0830.0710.0170.0110.0310.1290.1290.0700.0560.0770.1320.0930.0000.1010.0000.0400.0220.0480.0360.0390.0370.0400.0000.0980.0410.0900.0970.0430.0650.1080.0550.0490.0380.0850.0200.0000.0000.0360.0700.0000.0090.0840.1230.1140.0190.0931.0000.0330.0510.0270.0360.0000.1100.0900.0820.0530.0860.1110.0610.0500.0530.0870.0940.1670.1390.1260.0560.1660.1540.0880.0540.0690.1230.0880.0370.0580.0820.0280.0840.0920.1020.0620.0850.0690.0620.0000.0750.0600.1130.0450.1010.0880.0520.0800.0600.0200.0400.0000.1520.1790.1470.1240.0670.0690.0000.0090.0760.0270.0860.0560.0000.0800.0460.1190.1660.0830.1200.0700.0820.0780.0120.0350.0670.0810.0950.0470.0000.0340.0000.0910.0000.0440.0420.0000.0180.0180.0420.0410.0640.0370.1040.0000.0000.0000.0820.0660.088
Symptom_Sensations_facial_pressure_left0.0000.0360.0460.0850.0190.0550.0350.0550.0670.0230.0540.0240.0000.0000.0580.0800.0630.0770.0550.0780.0180.0000.0600.0710.1570.0460.0750.0860.0690.0970.0500.1300.0290.0180.0460.0900.0000.1070.0580.0370.0370.0450.0520.0660.0790.0510.0800.0380.0370.0530.0230.0000.0730.0000.0490.0580.1200.0000.1140.1600.2490.0830.0870.1340.0331.0000.3560.1310.2600.0190.0790.0360.0610.0250.0500.0670.0910.0740.0820.1480.0720.0770.1610.0590.0850.1090.1260.0610.0480.0320.0760.0530.0840.0240.0440.0470.0330.0690.0530.0430.1090.0360.0690.0200.0610.0950.1250.0630.0610.1070.1020.0660.0920.0490.1030.0080.1180.0620.0720.1100.0700.0840.0710.0720.0410.0140.0400.0890.0960.1960.0260.1170.1270.0840.1760.1190.0870.0610.0230.0490.0870.0950.1330.0510.0000.0430.0100.0010.0000.0340.0000.0240.0420.0810.0540.0660.0820.0280.0590.0490.0150.0280.0410.0000.085
Symptom_Sensations_facial_pressure_right0.0300.0310.0480.0450.0000.0510.0260.0500.0450.0460.0750.0170.0110.0190.0680.0480.0630.0360.0410.0580.0000.0340.0490.0590.1570.0340.0710.0780.0710.0710.0340.1110.0000.0000.0360.0890.0000.0860.0460.0710.0360.0620.0570.0480.0780.0290.0780.0590.0370.0320.0000.0210.0360.0000.0000.0770.0990.0000.1070.1550.1910.1150.1000.1480.0510.3561.0000.1430.2280.0000.0770.0600.0550.0190.0600.0690.0950.0990.0650.1230.0670.0700.1490.0540.0580.1010.1300.0710.0570.0370.0660.0700.0640.0000.0480.0600.0190.0540.0700.0690.0790.0220.0660.0000.1030.1130.1230.0510.0870.0750.1090.0670.0770.0550.0800.0000.1260.0650.0610.1030.0570.0730.0570.0510.0230.0530.0580.0890.1030.1170.0320.1200.1300.0930.1570.0830.0790.0760.0460.0520.0610.0900.1080.0540.0000.0520.0000.0480.0000.0340.0130.0000.0370.0580.0300.0510.0760.0510.0720.0400.0000.0480.0240.0000.066
Symptom_Sensations_facial_pressure_other0.0220.0320.0380.0400.0090.0000.0170.0250.0360.0460.0000.0000.0110.0200.0330.0430.0540.0000.0170.0000.0000.0310.0410.0610.1240.0310.0410.0680.0670.0380.0670.0750.0000.0000.0220.0460.0180.0450.0590.0000.0440.0190.0150.0480.0380.0200.0370.0050.0330.0230.0420.0440.0200.0000.0000.0000.1180.0000.0670.1330.0840.1000.0810.0970.0270.1310.1431.0000.0710.0000.0690.0640.0110.0000.0650.0380.0430.0470.0370.0770.0350.0820.1070.0400.0290.0670.0890.0530.0450.0000.0630.0590.0410.0000.0140.0290.0300.0210.0480.0000.0410.0130.0340.0370.0210.0740.0810.0430.0580.0430.0810.0500.0280.0220.0330.0000.0730.0070.0350.0760.0260.0520.0000.0300.0040.0000.0410.0690.1240.0960.0370.0660.0890.0380.1240.0430.0580.0730.0460.0250.0460.0590.0520.0630.0220.0000.0520.0000.0000.0490.0320.0000.0210.0430.0520.0000.0540.0000.0450.0000.0000.0020.0280.0000.071
Symptom_Sensations_facial_paralysis0.0000.0200.0420.0490.0140.0150.0000.0160.0190.0300.0580.0230.0000.0000.0640.0310.0460.0570.0850.0640.0260.0090.0000.0420.0810.0170.0460.0500.0790.0460.0000.1000.0070.0000.0000.0470.0170.0910.0900.0270.0240.0690.0440.0390.0770.0240.0490.0640.0380.0540.0000.0000.0340.0000.0700.0700.0050.0000.0610.1240.1950.0890.0820.0910.0360.2600.2280.0711.0000.0100.0510.0270.0550.0340.0620.0390.0480.0380.0310.1210.0970.0610.1170.0570.0790.0980.1400.0300.0320.0690.0480.0200.0460.0080.0260.0360.0000.0570.0220.0250.0570.0160.0180.0040.0560.0810.1090.0530.0650.0810.0840.1160.0590.0280.0580.0000.1030.0430.0280.0580.0550.0690.0620.1090.0620.0240.0270.0480.0510.1490.0280.0890.0830.0720.0600.0680.0680.0650.0650.0420.0820.0700.0610.0350.0000.0490.0140.0400.0180.0300.0000.0000.0100.0400.0210.0000.0630.0120.0870.0000.0000.0690.0300.0000.043
Symptom_Temp_lability0.0230.0340.0000.0690.0170.0000.0250.0080.0170.0460.0170.0000.0040.0100.0420.0230.0700.0600.0370.0500.0000.0000.0140.0430.0140.0540.0130.0000.0470.0460.0150.0230.0000.0590.0340.0500.0160.0770.0330.0250.0000.0190.0050.1050.0550.0440.0840.0440.0000.0000.0000.0400.0000.0220.0560.1000.0240.0800.0330.0000.0320.0000.0300.0000.0000.0190.0000.0000.0101.0000.0540.3800.3400.2730.0000.0960.0510.0180.0490.0000.0370.0000.0410.0430.0000.0440.0430.0450.0990.0710.0450.0660.0000.0650.0490.0500.0660.0550.0350.0180.0490.0750.0620.0000.0000.0120.0000.0560.0000.0170.0520.0220.0320.0050.0370.0000.0120.0320.0340.0480.0500.0000.0000.0000.0300.0540.0000.0330.0320.0330.0000.0150.0320.0000.0400.0170.0150.0280.0240.0440.0290.0420.0320.0090.0000.0630.0000.0000.0320.0240.0240.0560.0000.0390.0620.0460.0350.0350.0000.0000.0300.0000.0000.0100.000
Symptom_Heat_intolerance0.0580.0970.0650.1040.0000.0950.1320.1260.1000.0850.1190.0650.0120.0430.1030.1320.1370.1020.1060.0950.0000.0000.0980.1360.1000.0400.0730.1180.1650.0930.0160.0920.0000.0000.0880.1370.0740.1040.1190.1050.0030.0460.0660.1430.0720.1320.1250.1280.0720.0680.0700.0870.0700.0070.0000.1300.0950.0190.1480.1320.0620.1400.1090.1470.1100.0790.0770.0690.0510.0541.0000.1840.2680.1700.1650.2750.1810.1300.1320.1360.1100.1570.1580.0720.1040.1290.1330.1470.1060.0970.1690.1230.1460.0430.0820.0350.0770.0690.1280.0960.0890.0970.1030.0000.0830.1530.1660.1040.1470.0930.1340.0920.1370.1300.1230.0270.1740.1280.1450.1650.1310.1110.0450.0650.0920.0000.1540.0680.0880.0920.0000.1850.2330.1600.1350.1550.1180.1020.0410.0630.1070.0980.1580.0720.0000.0510.0540.0580.0000.0650.0000.0320.0750.0540.0830.0860.1030.0750.1170.1110.0430.0000.1020.0370.147
Symptom_Merged_temperature_other_temp_issues0.0320.0710.0500.0430.0900.0780.1000.1120.0580.0090.0600.0510.0730.0080.0440.0680.0520.0520.0120.0410.0000.0400.0510.0880.0930.0350.0330.0930.0820.0740.0930.0710.0390.0320.0370.0290.0410.0220.0690.0490.0340.0000.0000.0850.0400.0610.0240.0160.0460.0480.1670.0130.0510.0150.0000.0270.0680.0580.0920.0890.0530.2230.0670.1080.0900.0360.0600.0640.0270.3800.1841.0000.1900.0940.2660.3450.1070.0870.1230.0950.0820.1300.1050.0890.0640.0980.0730.0800.0770.0540.1020.1070.1160.0560.0560.0240.0750.0980.1020.0920.0910.0470.0930.0860.0390.0940.1220.0710.1000.0790.0600.0730.0580.0630.1020.0800.0920.0800.1020.0920.0620.0650.0460.0560.0660.0000.0800.0380.0230.0130.0650.1140.1320.1080.1170.0990.0800.0620.0000.0420.0740.0610.0730.1400.0000.0130.0000.0000.0000.0940.0650.0000.0530.0370.0270.0520.0490.0150.0300.0440.0480.0000.0640.0220.107
Symptom_Elevated_temp0.0340.0240.0270.0720.0090.0570.0610.0590.0750.0430.0610.0390.0010.0480.0330.0660.0780.0800.0680.0960.0000.0000.0410.1270.0660.0510.0290.0860.0960.0620.0000.0460.0080.0000.0460.0670.0060.0560.0770.0690.0210.0600.1010.1840.1210.0710.0780.0600.0340.0470.0000.0310.0000.0390.0000.0170.0000.0360.1110.0980.0420.1380.0780.1040.0820.0610.0550.0110.0550.3400.2680.1901.0000.4610.2060.4560.2120.0930.1520.1180.1090.1900.1550.1650.0690.1280.1270.1220.1860.1490.1830.1750.1140.1520.1110.0680.1500.1500.1130.1050.1630.1290.1460.0090.0660.0930.1550.1260.0690.1100.1250.0930.0870.0610.1270.0400.1480.1720.1690.1540.1060.0880.0750.0290.0410.0400.0450.0990.0780.0550.0330.1610.1700.1230.1350.1110.0890.0690.0310.0920.1180.0730.0980.0530.0200.0890.0570.0150.0100.0000.0000.0740.0220.1050.0310.0890.0710.0040.0610.0360.0000.0160.1300.0880.095
Symptom_Fever0.0410.0540.0310.0630.0130.0640.0550.0540.0400.0500.0640.0380.0300.0200.0350.0610.0970.0880.0890.0780.0100.0000.0280.0790.0410.0530.0000.0610.0910.0730.0090.0280.0290.0050.0370.0650.0000.0240.0400.0300.0120.0180.0350.1170.0490.0550.0820.0310.0450.0290.0880.0590.0000.0400.0000.0320.0300.0000.0740.0350.0160.0650.0390.0420.0530.0250.0190.0000.0340.2730.1700.0940.4611.0000.1220.3310.1430.0620.1190.0600.1150.1310.0990.1060.0220.1120.1050.0790.1660.1670.1650.1720.0640.1600.1170.0650.1120.1130.0900.0760.0850.1370.1130.0000.0300.0570.1050.0790.0670.0780.0960.0710.0590.0240.0980.0270.1010.1510.1340.1240.0720.0590.0230.0000.0410.0620.0370.0400.0210.0330.0000.1090.0990.0730.0890.0590.0570.0540.0410.0660.0670.0460.0690.0310.0000.0970.0240.0000.0350.0000.0000.0150.0000.0540.0200.1030.0610.0120.0580.0000.0150.0060.1030.0560.050
Symptom_Low_temp0.0310.0520.0610.1090.0480.0640.0520.0780.0760.0310.0920.0370.0610.0360.0640.0920.0720.0940.0660.1050.0390.0230.0510.0890.0870.0430.0250.0890.0800.0580.0590.0890.0200.0000.0680.1180.0630.1060.1320.0830.0590.0410.0700.1240.1020.0790.0760.0660.0750.0770.0890.0000.0160.0300.0670.0000.0080.0000.1200.1060.0820.2410.1020.1260.0860.0500.0600.0650.0620.0000.1650.2660.2060.1221.0000.2800.1610.1880.1520.1720.1130.1410.1780.1120.0970.1610.1270.1340.1410.0950.1750.1480.1310.0600.0680.0620.0720.1030.1560.1030.1220.0930.1380.0450.1230.1370.1980.1020.1400.1340.1420.1460.1140.1080.1420.0710.1650.1170.1390.1500.1260.0690.1040.0530.0630.0340.0930.0900.0510.0570.0210.2030.1770.1300.1410.1250.1330.1100.0560.0980.1230.1360.1390.1270.0630.0000.0000.0000.0000.1090.0000.0370.0470.0750.0650.0700.1010.0560.0930.0740.0240.0330.0780.0320.123
Symptom_Chills_flushing_sweats0.0720.0830.0330.0940.0000.0930.0890.0970.0950.0830.0800.0460.0350.0440.0840.0940.1020.0820.0910.0870.0000.0220.1000.1200.1290.0790.0450.1080.1230.0520.0250.1070.0760.0230.0640.1040.0250.0700.0990.0680.0290.0350.0460.3150.1160.1130.1080.0830.0610.0670.1460.0630.0350.0550.0000.0320.0780.0000.1570.1090.0610.2590.0980.1420.1110.0670.0690.0380.0390.0960.2750.3450.4560.3310.2801.0000.1810.1150.2000.1630.1190.2190.1820.1700.0860.1800.1580.1400.2140.1520.2360.2150.1690.1160.1120.0760.1460.1680.1670.1500.1690.1310.1830.0690.0760.1410.1890.1140.1420.1240.1540.1180.1170.0990.1730.0900.1970.2200.2050.1840.1490.0700.0590.0200.0540.0450.0860.1230.0790.0720.0000.2070.1940.1540.1840.1470.0910.0740.0360.1000.1220.1040.1390.1220.0400.0890.0440.0090.0000.0780.0000.0220.0000.1150.0830.1210.0920.0300.0220.0610.0200.0000.1280.0830.123
Symptom_Tachycardia0.0580.0460.0360.0850.0000.0730.0890.0760.0780.0580.0830.0660.0200.0410.0710.0930.0780.0520.0440.1020.0000.0000.0500.0730.1410.0370.0430.1170.1290.0810.0110.0860.0540.0490.0380.1070.0410.0700.1100.0730.0280.0760.0960.1020.1740.0690.1000.0740.0530.0790.0380.0470.0000.0000.0180.0000.0950.0550.1070.1280.1020.1250.1500.1500.0610.0910.0950.0430.0480.0510.1810.1070.2120.1430.1610.1811.0000.2060.4320.2090.1230.2220.1810.2130.0790.1300.1450.1400.1580.0980.1660.1630.1580.1080.0750.0610.2000.2290.0850.0480.2340.0930.1300.0070.0460.1860.1970.1520.1070.1080.1340.0740.0850.0720.1170.0220.2050.1320.1440.1190.1440.0940.0850.0640.0190.0190.0830.0730.0510.0510.0250.1860.1870.1420.1480.1310.1080.0830.0490.1010.1110.0890.1210.0830.0000.1070.0000.0000.0000.0270.0000.0700.0460.0880.0630.0550.1160.0390.0670.0370.0000.0480.1760.0720.124
Symptom_Bradycardia0.0490.0340.0370.0870.0130.0450.0580.0790.0460.0280.0820.0210.0100.0180.0670.0930.0780.0640.0800.1010.0170.0000.0510.0590.1120.0570.0390.0690.0930.0660.0320.1180.0390.0100.0110.1230.0000.0860.0880.0830.0440.0370.0480.0450.1290.0500.0700.0370.0400.0800.0420.0150.0120.0160.0610.0490.0680.0000.0990.0860.1010.1170.0910.1300.0500.0740.0990.0470.0380.0180.1300.0870.0930.0620.1880.1150.2061.0000.1410.1770.1040.1190.1500.1380.0870.1350.1230.1110.0810.0730.1050.1360.1020.0230.0350.0570.1030.1250.0700.0260.1580.0850.1040.0290.0590.1460.1650.0950.0870.0760.1390.1000.0790.0850.1080.0250.1200.0790.0890.0890.0330.0920.0950.0820.0410.0450.0740.0560.0770.0550.0200.1520.1350.1200.1380.1130.1190.0770.0340.0630.1100.0920.0980.0760.0000.0550.0000.0000.0000.0000.0000.0520.0470.0730.0130.0400.0600.0280.0470.0500.0000.0000.0850.0280.093
Symptom_Heart_palpitations0.0480.0690.0340.0560.0050.0910.0810.0850.0600.0630.0780.0850.0320.0860.0590.1210.1110.0810.0630.0650.0090.0000.0630.0900.1310.0510.0520.0930.0940.0530.0130.0610.0490.0300.0580.1060.0520.0520.1040.0600.0820.0000.0320.0920.1780.0860.0960.0740.0410.0420.1350.0470.0230.0270.0000.0210.1110.0000.1230.0940.0990.1170.1540.1450.0530.0820.0650.0370.0310.0490.1320.1230.1520.1190.1520.2000.4320.1411.0000.1820.1040.2180.1680.2330.0580.1150.1250.1010.1700.0590.1960.1440.1450.0860.0510.0620.2130.2790.0900.0620.2410.0780.1590.0480.0510.1830.1760.1330.0960.0900.1140.0850.0710.0730.1080.0590.1660.1290.1350.1140.1090.0810.0470.0650.0250.0180.0640.0510.0560.0270.0000.1620.1890.1450.1650.1290.0890.0660.0330.0620.1070.0900.1040.1220.0100.0700.0390.0000.0190.0230.0130.0840.0280.0600.0460.0500.0820.0480.0400.0000.0000.0180.1640.0770.112
Symptom_Bulging_veins0.0460.0200.0610.0900.0000.0320.0640.0560.0540.0300.0730.0350.0250.0140.0680.0950.0650.0730.0700.1160.0620.0000.0600.1180.1270.0440.0300.1130.0690.0780.0400.1160.0440.0360.0340.1250.0310.1300.1210.0870.0880.0770.0430.1310.1630.0670.1060.0940.0560.1040.0600.0450.0290.0000.0700.0810.1050.0670.1860.1980.1480.1470.1640.1810.0870.1480.1230.0770.1210.0000.1360.0950.1180.0600.1720.1630.2090.1770.1821.0000.1160.1240.2260.1380.1290.1520.1740.1180.1140.0650.1380.1380.1320.0550.0610.0780.0860.1510.1040.0720.1890.0860.1340.0240.0770.1760.2280.1540.1550.1730.2660.1920.1780.1410.1990.0690.2280.1170.1430.1680.1610.1320.0740.1430.0850.0390.0610.1270.0910.1190.0450.1920.1880.1850.1800.1550.1040.0980.0520.1530.1540.1280.1280.1300.0410.1200.0000.0000.0200.0400.0000.0230.0400.1020.0550.0600.0830.0300.0980.1090.0200.0540.0730.0000.119
Symptom_Fainting0.0470.0670.0590.1070.0070.0610.0870.0860.0730.0250.0910.0340.0190.0000.0470.0810.1130.1000.1010.0630.0480.0210.0630.0970.1000.0630.0200.0590.1050.0920.0180.0930.0090.0000.0540.0570.0340.0810.0850.0620.0290.0710.0370.0670.0910.0440.0980.0930.0470.0570.0000.0380.0000.0240.0520.0640.1150.0000.0690.1030.1190.0830.0950.1330.0940.0720.0670.0350.0970.0370.1100.0820.1090.1150.1130.1190.1230.1040.1040.1161.0000.1840.1390.1240.0880.1910.1740.0920.0900.1430.1400.1220.0770.0410.0540.0820.0730.0830.0700.0240.0970.0830.0620.0000.0720.1050.1330.0630.0910.1000.1100.1110.1010.0940.0930.0170.1340.0770.0940.1210.0720.0710.0430.0640.0510.0630.0630.0740.0430.1330.0000.1450.1570.0800.0980.0810.1240.1100.0700.0620.0900.0730.0960.0450.0110.0450.0000.0930.0000.0100.0000.0000.0400.0320.0000.0590.0600.0430.0690.0640.0340.0190.0780.0340.079
Symptom_Dizziness_vertigo0.0810.1100.0320.1010.0000.1540.1330.1390.0990.0700.1090.0830.0220.0830.1090.1080.1400.0930.0680.0890.0000.0000.0860.1450.1620.0800.0620.1220.1410.1040.0340.0860.0460.0240.0770.1060.0570.0680.0940.0780.0210.0500.0690.1230.1110.0960.0940.0860.0710.0490.0850.0610.0000.0460.0460.0270.0000.0000.1040.1450.0990.1310.1100.1400.1670.0770.0700.0820.0610.0000.1570.1300.1900.1310.1410.2190.2220.1190.2180.1240.1841.0000.2460.2580.0770.2500.2110.1710.2040.1310.2860.2030.1620.1340.0780.0470.1770.1550.1570.1170.1530.1120.1650.0000.1120.2170.2480.1170.1310.1270.1240.1140.1000.0890.1330.0720.1940.2180.2050.1720.1190.1120.0360.0000.0380.0250.1130.0760.0770.0650.0000.2410.2540.1680.1920.1760.1180.0870.0470.0930.1150.0960.1600.1340.0000.0670.0160.0420.0190.0570.0170.0270.0000.1190.0670.0710.1120.0190.0620.0270.0000.0090.1850.1270.129
Symptom_Neuralgia0.0580.0840.0820.1160.0000.0910.0970.0920.1020.0650.1340.0500.0000.0710.0860.1150.1270.1190.1030.1370.0140.0000.1080.1960.1620.0540.0570.1700.1390.1120.0600.1610.0260.0000.0810.1780.0560.1330.1080.0850.0790.0900.0860.1340.1450.0800.1300.1810.0770.1020.0300.0720.0000.0580.0000.1310.1230.0380.2920.2690.1880.1630.2710.3280.1390.1610.1490.1070.1170.0410.1580.1050.1550.0990.1780.1820.1810.1500.1680.2260.1390.2461.0000.1860.1140.2010.2200.1650.1640.1220.2210.1460.1960.0830.0880.0730.0930.1400.1470.0990.1790.1150.1350.0320.1330.1930.2500.1210.1840.1570.1930.1470.1560.1300.1790.0540.3350.2770.3090.3300.1140.1380.0610.0610.0730.0250.1060.1440.1060.1330.0360.2390.2310.1790.2270.1720.1310.1050.0540.1170.1390.1130.1660.1180.0110.0270.0180.0430.0020.1030.0210.0000.0260.1600.0910.1380.1100.0620.1190.0580.0220.0800.1140.0600.149
Symptom_Gasping_air_normal_oxygen0.0430.0460.0260.0740.0280.0960.0960.0980.0580.0430.0790.0700.0000.0380.0610.0910.0910.0730.0740.0770.0180.0000.0430.0820.0610.0460.0340.0630.0830.0770.0110.0630.0610.0240.0440.0570.0000.0430.0630.0420.0000.0480.0220.0600.3240.0450.0960.0530.0150.0670.0970.0580.0000.0000.0100.0770.0000.0000.0950.0890.1020.0640.0740.1110.1260.0590.0540.0400.0570.0430.0720.0890.1650.1060.1120.1700.2130.1380.2330.1380.1240.2580.1861.0000.1130.1980.1770.0810.1410.0750.1590.1320.1500.1590.0950.0910.4690.3270.0850.0520.2830.1870.1480.0390.0510.1160.1240.1020.0660.0780.1180.0860.0880.0800.1050.0430.1480.1570.1710.1170.0850.1130.0890.0890.0220.0590.0370.0460.0520.0660.0000.1410.1260.0990.1310.0960.0820.0480.0380.0640.0650.0790.0970.0570.0000.0680.0340.0000.0450.0330.0000.0350.0430.0690.0000.0420.0790.0510.0400.0150.0000.0180.1860.0760.087
Symptom_New_anaphylaxis0.0100.0000.0650.0660.0000.0280.0350.0270.0260.0240.0680.0000.0000.0000.0500.0520.0300.0460.0320.0590.0000.0000.0230.0650.0510.0260.0000.0230.0490.0360.0000.0700.0000.0000.0260.0620.0000.0670.0830.0760.0130.0510.0420.0640.1160.0380.0170.0370.0340.0960.0450.0460.0000.0000.0720.0490.0000.0000.0800.0850.0820.0780.0330.0710.0560.0850.0580.0290.0790.0000.1040.0640.0690.0220.0970.0860.0790.0870.0580.1290.0880.0770.1140.1131.0000.1510.1160.1160.0600.0620.0850.0630.0990.0380.0400.0360.0690.0610.0750.0660.1070.0550.0600.0000.0740.0870.0910.0790.0790.0920.1100.0700.1190.3440.1190.0090.1200.0500.0570.0900.0340.1080.0640.0670.0580.0000.0500.0530.0650.0820.0470.0760.1040.0910.0910.0610.0890.0910.0500.0790.0880.1000.0680.0690.0000.0380.0420.0320.0000.0540.0080.0000.0260.0620.0370.0200.0420.1450.0260.3450.0420.0030.0380.0000.183
Symptom_Acute_confusion0.0800.1580.1630.2170.0000.1400.1900.1860.1560.1260.2080.0780.0280.0350.1800.1540.2130.1980.1440.1600.0690.0280.0560.0990.1810.0800.0220.0920.1530.1110.0460.1420.0000.0000.0590.1040.0640.1300.0760.1080.0440.0910.0600.1210.1300.1030.1560.0890.1100.1020.0800.0740.0320.0140.0360.1030.0360.0000.1310.1470.1390.1340.0880.1500.1660.1090.1010.0670.0980.0440.1290.0980.1280.1120.1610.1800.1300.1350.1150.1520.1910.2500.2010.1980.1511.0000.3880.1370.1340.1360.1900.1620.1340.0880.1020.0750.1130.1190.1510.1140.1570.1540.1060.0000.1400.1600.2250.1250.1510.1360.1650.1510.1380.1250.1510.0460.2250.1530.1680.1910.0990.0810.0450.0310.0890.0480.1120.0590.0790.1480.0740.2230.2380.1180.1710.1670.1720.1630.0810.0860.1300.0950.2010.0900.0290.0440.0290.1020.0000.0420.0700.0500.0450.1080.0710.0880.1080.0740.1000.0870.0450.0000.0950.0530.119
Symptom_Slurring_words0.0650.1310.1380.1880.0110.1420.1550.1630.1700.1210.2190.0860.0350.0000.1900.1330.1490.2530.2730.1400.0520.0430.0730.1320.1670.0670.0290.1010.1530.0850.0380.1450.0000.0000.0690.1290.0740.1340.1140.1120.0570.0940.0600.1000.1070.1070.1340.1020.0880.1210.0590.0780.0420.0220.0670.1350.0990.0000.1430.1700.1620.1290.1220.1520.1540.1260.1300.0890.1400.0430.1330.0730.1270.1050.1270.1580.1450.1230.1250.1740.1740.2110.2200.1770.1160.3881.0000.1110.1000.1050.1450.1040.1150.0640.0940.0870.1160.1080.1150.0950.1300.1530.0970.0050.1460.1710.2420.1010.1510.1670.1620.1560.1310.1120.1480.0390.2330.1360.1660.1800.0860.0860.1070.0200.1020.0660.1190.0770.0610.1630.0300.2380.2260.1310.1750.1550.2090.1340.0940.0790.1030.1100.1790.1090.0000.0000.0420.1010.0000.0410.0190.0050.0570.1080.0680.0860.1090.0300.1170.0610.0000.0280.0980.0490.101
Symptom_Constipation0.0320.0800.0460.0880.0000.0630.0780.0940.0530.0780.0720.0320.0140.0000.0400.0830.0780.0670.0520.0800.0000.0450.0700.1250.1070.0150.0850.0940.0940.0920.0230.0710.0500.0340.0460.0790.0540.0720.1060.0680.0000.0810.0870.1020.0560.0820.0940.0790.0760.0550.0310.0480.0000.0280.0000.0750.0800.0000.1240.1110.0830.1190.0950.0960.0880.0610.0710.0530.0300.0450.1470.0800.1220.0790.1340.1400.1400.1110.1010.1180.0920.1710.1650.0810.1160.1370.1111.0000.1730.1160.2030.1720.2060.0480.1030.0460.0740.0750.1320.1110.0860.0710.1010.0000.1080.1360.1790.1140.1430.1130.1340.0800.1080.1290.1320.0580.1680.1020.1300.1310.0750.0990.0480.0600.0590.0200.0740.0850.0620.0900.0150.1640.1780.1570.1440.1240.1120.0700.0420.0620.0960.0880.1120.0810.0000.0000.0440.0400.0000.0870.0000.0110.0960.1320.0130.0860.0850.0450.0720.1040.0000.0320.0740.0390.144
Symptom_Diarrhea0.0480.0250.0000.0420.0250.0490.0490.0710.0410.0430.0650.0480.0000.0480.0500.0900.0970.0750.0480.0770.0000.0240.0440.1020.0630.0390.0240.0590.0610.0690.0000.0600.0400.0000.0700.1060.0240.0660.0870.0660.0230.0530.0480.1270.0940.0910.1210.0620.0650.0420.0620.0480.0190.0310.0000.0000.0540.0000.1410.0990.0610.1110.1060.1020.0540.0480.0570.0450.0320.0990.1060.0770.1860.1660.1410.2140.1580.0810.1700.1140.0900.2040.1640.1410.0600.1340.1000.1731.0000.2470.3720.3250.2410.1210.1100.0510.1260.1390.1430.1260.1500.0890.1720.0300.0420.1340.1440.1480.1320.1220.1440.0890.1030.0960.1440.0590.1620.1580.1400.1260.1040.1030.0360.0290.0220.0200.0140.1110.0610.0390.0000.1510.1560.1350.1400.1250.0770.0500.0270.1120.1300.1000.1160.0990.0000.0870.0000.0000.0210.0360.0000.0740.0620.1410.2650.0990.0820.0260.0470.0450.0000.0000.0820.0550.082
Symptom_Vomiting0.0430.0470.0330.0760.0190.0530.0510.0410.0570.0410.0740.0420.0000.0000.0420.0770.0630.0550.0670.0650.0000.0380.0440.0870.0420.0040.0220.0500.0730.1030.0000.0000.0050.0000.0520.0890.0440.0950.0670.0810.0000.0660.0190.0770.0780.0640.0800.0770.0620.0520.0150.0310.0000.0000.0660.0290.0770.0000.0620.0890.0680.0680.0630.1060.0690.0320.0370.0000.0690.0710.0970.0540.1490.1670.0950.1520.0980.0730.0590.0650.1430.1310.1220.0750.0620.1360.1050.1160.2471.0000.3280.2210.1460.1070.0990.0470.0710.0750.1070.0970.0770.1080.1020.0000.0710.0720.1080.0830.1040.1030.0840.0850.0770.0810.1250.0490.1290.1070.1340.1400.0790.0550.0110.0000.0460.0290.0420.0650.0720.0820.0000.1200.1240.0940.1110.0760.0510.0460.0260.0500.0460.0870.0780.0360.0000.0790.0000.0340.0000.0710.0000.0280.0370.0970.0640.0900.0430.0110.0770.0580.0160.0000.0660.0300.066
Symptom_Nausea0.0480.0790.0410.0760.0000.1020.1010.1090.0840.0710.0760.0810.0300.0140.0620.1370.1340.0770.0670.1130.0000.0340.0880.1090.1170.0900.0640.1240.1130.1180.0710.0700.0590.0300.1140.1210.0740.0960.1110.0970.0200.0640.0610.1300.1070.1040.1210.0930.0760.0470.0830.0610.0380.0200.0000.0490.0280.0000.1370.1440.0900.1400.0930.1260.1230.0760.0660.0630.0480.0450.1690.1020.1830.1650.1750.2360.1660.1050.1960.1380.1400.2860.2210.1590.0850.1900.1450.2030.3720.3281.0000.3690.2640.1090.0970.0400.1390.1460.1570.1280.1750.1220.1870.0250.1030.1770.1940.1530.1510.1300.1660.1160.1120.1120.1750.0760.1960.2350.1970.1760.1290.1070.0510.0050.0560.0140.0840.1390.0940.0650.0030.2010.2310.1730.2030.1520.1070.0840.0440.1150.1170.1180.1490.1210.0000.0770.0320.0000.0000.1020.0000.0590.0310.1990.0970.1010.1470.0450.0800.0500.0330.0110.1260.0790.117
Symptom_Loss_of_appetite0.0210.0490.0550.0510.0170.0560.0800.0770.0600.0590.0870.0550.0460.0000.0690.0990.1120.0420.0600.0780.0120.0000.0630.0800.0910.0440.0480.0960.0790.0920.0620.0780.0000.0570.0990.0650.0560.0610.0730.0790.0000.0690.0690.1120.0940.0790.1090.0260.0460.0210.0920.0500.0350.0250.0520.0280.0000.0000.0850.0970.0440.1210.0730.0880.0880.0530.0700.0590.0200.0660.1230.1070.1750.1720.1480.2150.1630.1360.1440.1380.1220.2030.1460.1320.0630.1620.1040.1720.3250.2210.3691.0000.1910.1160.1080.0590.1260.1450.1360.1360.1650.1000.1680.0450.0450.1210.1430.1270.1310.0970.1290.0920.0910.0990.1260.0730.1510.1540.1300.1390.1040.1160.0260.0280.0640.0450.0620.0800.0610.0440.0000.1540.1560.1370.1240.0850.0840.0680.0250.0760.1130.0870.0880.0940.0000.0420.0000.0000.0010.0830.0000.0730.2090.0400.0410.0590.0710.0510.0630.0720.0000.0000.1060.0560.089
Symptom_Acid_reflux0.0410.0440.0340.0620.0290.0330.0410.0640.0320.0590.0630.0480.0120.0270.0530.0860.0700.0590.0610.0710.0000.0310.0660.1200.0880.0000.0670.1180.0550.0750.0170.0870.0390.0280.0680.1210.0450.1120.1240.0720.0400.0550.0630.1290.1180.0820.1210.0980.0580.0880.0730.0290.0210.0460.0000.0880.0720.0000.1380.1260.0670.1380.0960.1130.0370.0840.0640.0410.0460.0000.1460.1160.1140.0640.1310.1690.1580.1020.1450.1320.0770.1620.1960.1500.0990.1340.1150.2060.2410.1460.2640.1911.0000.0830.0870.0570.1190.1360.1280.1070.1830.1050.1640.0350.0940.1560.1500.1200.1520.0910.1460.0970.1250.1100.1340.0320.1810.1140.1280.1280.0750.2060.0640.0540.0320.0100.0810.0920.0960.0520.0330.1480.1400.1570.1510.1550.0730.0520.0540.0920.1110.0810.1390.0910.0000.0000.0000.0000.0190.0810.0000.0000.0290.1630.1070.0290.0960.0560.0740.0800.0350.0000.0970.0400.099
Symptom_Dry_cough0.0190.0640.0350.0320.0130.0740.0630.0670.0570.0160.0630.0390.0140.0440.0000.0480.0680.0430.0470.0260.0000.0330.0380.0640.0030.0370.0000.0240.0550.0500.0270.0230.0000.0140.0460.0460.0000.0000.0000.0000.0560.0250.0310.0590.1120.0000.0360.0410.0000.0000.0540.0180.0000.0370.0000.0000.0430.0000.0510.0470.0250.0470.0460.0410.0580.0240.0000.0000.0080.0650.0430.0560.1520.1600.0600.1160.1080.0230.0860.0550.0410.1340.0830.1590.0380.0880.0640.0480.1210.1070.1090.1160.0831.0000.1770.0770.2720.2020.1700.1250.1700.1680.2210.0120.0510.0580.0740.0650.0590.0710.0680.0700.0760.0220.0640.0000.0940.1300.1200.0900.0420.0610.0720.0000.0000.0400.0230.0710.0340.0000.0040.1050.0850.0900.0720.0880.0390.0110.0000.0480.0540.0660.0640.0600.0060.0590.0380.0000.0070.0000.0000.0440.0000.0340.0330.0830.0650.0000.0310.0160.0000.0000.0960.0900.036
Symptom_Cough_with_mucus0.0250.0580.0600.0650.0220.0480.0560.0620.0540.0590.0640.0290.0000.0070.0230.0250.0900.0680.0640.0130.0380.0050.0340.0770.0000.0050.0000.0670.0430.0340.0100.0000.0350.0460.0590.0680.0420.0470.0350.0410.0220.0320.0450.0570.0780.0410.0580.0490.0440.0430.0530.0340.0000.0220.0000.0540.0580.0000.0420.0460.0160.0660.0530.0520.0820.0440.0480.0140.0260.0490.0820.0560.1110.1170.0680.1120.0750.0350.0510.0610.0540.0780.0880.0950.0400.1020.0940.1030.1100.0990.0970.1080.0870.1771.0000.1760.1380.1230.2160.2300.1260.2100.1440.0320.0750.0580.0910.0450.0900.0760.1040.0700.0640.0320.0770.0420.0940.1110.1120.1130.0560.0680.0520.0000.0000.1610.0000.0520.0480.0280.0410.1000.0980.0980.0660.0960.0470.0460.0120.0410.0810.0730.0700.0690.0000.0000.0000.0430.0000.0480.0000.0000.0000.0370.0720.0570.0820.0550.0820.0000.0110.0000.0250.0380.059
Symptom_Coughing_up_blood0.0000.0230.0640.0640.0110.0240.0420.0320.0290.0130.0450.0000.0450.0000.0000.0600.0570.0460.0820.0380.0780.0000.0000.0440.0250.0000.0000.0220.0330.0000.0360.0270.0000.0000.0000.0000.0130.0670.0540.0590.0000.0430.0200.0640.0980.0300.0690.0510.0320.0670.0260.0000.0180.0000.0400.0350.0850.0580.0540.0530.0380.0380.0240.0340.0280.0470.0600.0290.0360.0500.0350.0240.0680.0650.0620.0760.0610.0570.0620.0780.0820.0470.0730.0910.0360.0750.0870.0460.0510.0470.0400.0590.0570.0770.1761.0000.0680.0790.0780.0690.0810.1380.0640.0320.0680.0540.0670.0380.0600.0470.1110.0990.0480.0430.0720.0260.0660.0260.0560.0650.0000.0190.0000.0050.0220.8500.0000.0640.0590.0730.0160.0750.0480.0340.0720.0670.0630.0440.0600.0390.0760.0760.0480.0350.0000.0260.0430.0000.0000.0000.0000.0320.0000.0210.0320.0150.0000.0350.0490.0470.0000.0170.0340.0000.054
Symptom_Shortness_of_breath0.0550.0610.0000.0490.0060.0890.0970.0850.0560.0380.0450.0640.0190.0820.0640.0680.0750.0370.0350.0390.0100.0000.0590.0670.0350.0230.0310.0520.0940.0730.0000.0000.0750.0000.0260.0280.0000.0000.0410.0290.0170.0000.0300.0520.2490.0750.0770.0530.0320.0360.0830.0470.0230.0000.0000.0160.0000.0000.0570.0620.0520.0690.0500.0720.0840.0330.0190.0300.0000.0660.0770.0750.1500.1120.0720.1460.2000.1030.2130.0860.0730.1770.0930.4690.0690.1130.1160.0740.1260.0710.1390.1260.1190.2720.1380.0681.0000.4030.1110.0830.2770.1890.1740.0100.0400.0930.0980.0810.0450.0440.0930.0530.0590.0560.0960.0310.1080.1460.1310.0940.0860.1000.0930.0690.0000.0470.0440.0670.0620.0450.0000.1210.1230.0920.1090.0890.0540.0330.0220.0470.0660.0560.0880.0580.0350.0640.0250.0000.0070.0230.0000.0570.0520.0500.0000.0730.0620.0580.0390.0000.0000.0000.2140.1110.049
Symptom_Tightness_of_chest0.0590.0390.0060.0530.0000.0750.0590.0660.0590.0290.0590.0790.0180.0540.0490.0940.0720.0610.0430.0500.0070.0090.0650.1100.0900.0520.0390.0660.0900.0860.0000.0870.0430.0000.0000.0760.0000.0470.0740.0380.0670.0000.0230.0850.2530.0620.0790.0510.0400.0400.0700.0400.0000.0270.0000.0000.0250.0000.0850.0860.0850.0770.1100.0920.0920.0690.0540.0210.0570.0550.0690.0980.1500.1130.1030.1680.2290.1250.2790.1510.0830.1550.1400.3270.0610.1190.1080.0750.1390.0750.1460.1450.1360.2020.1230.0790.4031.0000.1210.0930.4320.1800.2160.0350.0400.1090.1140.1110.0590.0610.0950.0590.0610.0580.1190.0310.1380.1780.1330.1350.0550.1180.0840.0560.0200.0640.0380.0980.0530.0420.0000.1320.1370.1010.1420.1020.0680.0470.0270.0610.0810.0770.0850.0400.0210.0810.0310.0000.0230.0000.0000.0840.0000.1230.0000.0440.0450.0620.0310.0100.0250.0300.1800.0840.077
Symptom_Sneezing0.0590.1010.0460.0550.0230.0620.0580.0780.0510.1040.0590.0390.0170.0410.0510.0510.0680.0700.0600.0440.0230.0000.0520.1240.1030.0650.0870.0900.0850.0680.0000.0600.0000.0180.0650.1110.0570.0930.0870.0700.0290.0320.0460.1210.0730.1090.1040.0860.0810.0610.0820.0710.0560.0290.0330.0760.0940.0230.0990.0780.0450.1150.0910.0890.1020.0530.0700.0480.0220.0350.1280.1020.1130.0900.1560.1670.0850.0700.0900.1040.0700.1570.1470.0850.0750.1510.1150.1320.1430.1070.1570.1360.1280.1700.2160.0780.1110.1211.0000.4880.1390.1820.2560.0350.1180.1310.1350.0860.1320.1220.1190.0950.1360.0710.1330.0290.1250.1440.1550.1600.0760.1070.0660.0140.0530.0580.0000.1450.1320.0710.0360.1450.1460.1330.1420.1320.0900.0850.0450.0960.1250.1070.1270.0960.0000.0430.0000.0360.0000.0550.0000.0050.0390.0880.0590.1090.1680.0630.0870.0380.0370.0000.0490.0570.071
Symptom_Runny_nose0.0440.0880.0410.0510.0260.0650.0590.0980.0630.0890.0680.0400.0240.0390.0700.0540.0920.0700.0650.0570.0300.0220.0610.1120.0650.0460.0710.0670.0820.0440.0110.0310.0370.0360.0600.0780.0480.0640.0620.0510.0000.0530.0350.0990.0510.0750.0740.0680.0440.0470.0970.0590.0740.0520.0000.0640.0000.0000.0680.0670.0090.0910.0710.0590.0620.0430.0690.0000.0250.0180.0960.0920.1050.0760.1030.1500.0480.0260.0620.0720.0240.1170.0990.0520.0660.1140.0950.1110.1260.0970.1280.1360.1070.1250.2300.0690.0830.0930.4881.0000.1080.1670.2610.0190.0900.0950.1060.0690.1230.0850.0820.0700.0890.0380.1080.0230.1170.1190.1260.1130.0620.0890.0430.0020.0550.0630.0320.0900.1130.0310.0310.1280.1340.0780.1140.1040.0630.0530.0330.0560.1100.0530.1030.0900.0000.0000.0000.0410.0000.0730.0000.0120.0190.0230.0340.0630.1020.0580.0430.0000.0320.0110.0390.0480.068
Symptom_Pain_burning_chest0.0370.0360.0430.0640.0100.0590.0580.0800.0610.0290.0720.0690.0000.0000.0510.1000.0970.0890.0540.0830.0490.0060.0400.0790.0880.0410.0420.0750.1130.0730.0000.1090.0550.0370.0400.0860.0170.0790.0750.0320.0920.0270.0440.0970.2230.0610.1030.0510.0420.0520.0650.0420.0510.0170.0000.0000.0610.0000.1350.1080.1020.0850.1600.1180.0850.1090.0790.0410.0570.0490.0890.0910.1630.0850.1220.1690.2340.1580.2410.1890.0970.1530.1790.2830.1070.1570.1300.0860.1500.0770.1750.1650.1830.1700.1260.0810.2770.4320.1390.1081.0000.1580.2190.0110.0610.1560.1440.1470.0790.0910.1370.1120.0890.0770.1440.0340.1540.1660.1470.1540.0910.1380.0980.0760.0270.0530.0690.1040.0640.0580.0000.1540.1410.1190.1520.1040.0850.0680.0320.0970.0920.0980.1110.0650.0000.0580.0000.0000.0000.0220.0130.0830.0000.1660.0120.0750.0780.0460.0540.0530.0000.0360.1470.0400.100
Symptom_Rattling_breath0.0390.0730.0870.0700.0140.0610.0730.0910.0460.0630.1270.0410.0400.0360.0460.0490.0790.1000.0950.0710.0770.0000.0750.0950.0650.0330.0270.0660.0690.0770.0000.0490.0000.0230.0740.0770.0520.0830.0240.0420.0290.0520.0410.0590.1570.0830.0840.0980.0710.1020.0520.0420.0000.0160.0120.1200.0960.0000.0720.0810.0400.1170.0660.0780.0690.0360.0220.0130.0160.0750.0970.0470.1290.1370.0930.1310.0930.0850.0780.0860.0830.1120.1150.1870.0550.1540.1530.0710.0890.1080.1220.1000.1050.1680.2100.1380.1890.1800.1820.1670.1581.0000.1560.0100.0840.0850.0990.0720.1410.0790.1190.1000.1060.0550.1070.0000.1710.1340.1550.1670.0460.0860.1140.0000.0390.1070.0560.0580.0860.0730.0000.1290.1080.0770.1030.1150.0950.0690.0430.0730.0850.0950.1230.0480.0000.0080.0000.0610.0190.0400.0160.0070.0000.0580.0660.0870.1160.0750.0860.0000.0000.0000.0800.0290.067
Symptom_Sore_throat0.0350.0480.0240.0430.0030.0550.0580.0640.0390.0510.0480.0770.0250.0390.0610.0790.0840.0360.0490.0760.0380.0000.0480.1040.0740.0780.0590.0400.0840.0750.0000.0490.0350.0100.0810.0910.0450.0630.0770.0390.0370.0000.0440.1170.1210.0680.1010.0490.0230.0250.0810.0430.0270.0440.0000.0000.0620.0000.0710.0660.0510.1000.0740.0800.0620.0690.0660.0340.0180.0620.1030.0930.1460.1130.1380.1830.1300.1040.1590.1340.0620.1650.1350.1480.0600.1060.0970.1010.1720.1020.1870.1680.1640.2210.1440.0640.1740.2160.2560.2610.2190.1561.0000.0180.0500.1310.1120.1320.0950.1010.1200.0710.0720.0830.1390.0520.1420.1960.1570.1220.0720.1790.0930.0150.0000.0350.0390.1590.1030.0300.0000.1240.1640.1360.1510.1090.0550.0400.0060.1060.1230.0790.1030.1040.0000.0630.0330.0000.0000.0480.0160.0590.0260.1220.0130.0540.0900.0310.0560.0350.0000.0000.0990.0710.087
Symptom_Respiratory_other0.0000.0020.0060.0000.1160.0000.0000.0270.0000.0130.0000.0000.1190.0380.0060.0050.0000.0000.0000.0200.0000.0850.0000.0000.0180.0210.0210.0000.0000.0000.1430.0000.0310.0000.0000.0000.0000.0000.0000.0000.0000.0470.0410.0090.0000.0000.0240.0110.0230.0000.0890.0000.0000.0270.0000.0000.0630.1090.0080.0180.0000.0110.0190.0320.0000.0200.0000.0370.0040.0000.0000.0860.0090.0000.0450.0690.0070.0290.0480.0240.0000.0000.0320.0390.0000.0000.0050.0000.0300.0000.0250.0450.0350.0120.0320.0320.0100.0350.0350.0190.0110.0100.0181.0000.0180.0000.0090.0100.0380.0170.0370.0390.0000.0130.0330.1210.0000.0150.0230.0280.0000.0290.0680.0140.0000.0000.0000.0000.0350.0000.0570.0000.0240.0220.0340.0300.0280.0160.0080.0180.0200.0320.0160.1010.0090.0220.0000.0000.0000.0690.0580.0280.0000.0000.0200.0000.0000.0110.0540.0000.0770.0000.0100.0000.024
Symptom_Hearing_loss0.0550.0880.1020.1220.0000.0590.0600.0790.0480.0510.1000.0000.0000.0000.0460.0380.0780.0760.1040.0400.0040.0100.0580.0680.0980.0440.0410.0680.0870.0650.0030.0840.0230.0370.0570.0810.0890.1040.0720.0930.0190.0490.0420.0860.0730.0580.0730.0890.0860.0660.0000.0080.0540.0000.0000.0760.1110.0370.0840.1120.0740.0850.0410.0940.0750.0610.1030.0210.0560.0000.0830.0390.0660.0300.1230.0760.0460.0590.0510.0770.0720.1120.1330.0510.0740.1400.1460.1080.0420.0710.1030.0450.0940.0510.0750.0680.0400.0400.1180.0900.0610.0840.0500.0181.0000.2160.1700.0330.1260.1200.1230.1040.1030.0590.0980.0100.1360.0650.1330.1400.0600.0700.0760.0470.0670.0370.0000.1380.1630.1790.1590.1410.1380.0950.0900.1310.1130.0720.0570.0440.0790.0900.1330.0650.0320.0310.0180.0410.0000.0620.0110.0000.0480.0600.0400.0580.1010.0360.1170.0500.0570.0450.0180.0000.090
Symptom_Tinnitus0.0440.0900.0670.0940.0000.0780.0890.1110.0790.0450.1040.0640.0210.0640.0930.1240.1180.1190.0990.0960.0250.0090.0940.1090.1840.0880.0670.1130.1560.1180.0200.1180.0570.0190.0480.1210.0640.1130.0960.0620.0700.0400.0620.1040.0930.1280.1340.0960.0690.0710.0940.0240.0000.0470.0260.1030.0770.0000.1600.1290.1100.1510.1300.1600.0600.0950.1130.0740.0810.0120.1530.0940.0930.0570.1370.1410.1860.1460.1830.1760.1050.2170.1930.1160.0870.1600.1710.1360.1340.0720.1770.1210.1560.0580.0580.0540.0930.1090.1310.0950.1560.0850.1310.0000.2161.0000.2430.0980.1550.1130.1650.1040.1080.1190.1300.0490.1990.1290.1570.1440.1000.1240.0720.0810.0590.0170.0650.0720.1430.0830.1400.2220.2160.1760.1880.2240.1250.0970.0470.1020.1500.1310.1750.1160.0100.0000.0800.0570.0000.0660.0400.0000.0240.1020.0860.0640.1200.0230.0820.0900.0000.0350.1200.0390.133
Symptom_Eye_vision_symptoms0.0490.1280.1280.1110.0000.1210.1180.1350.1040.0810.1220.0600.0280.0240.1180.1630.1330.1510.1150.1310.0000.0440.1380.1520.1550.0170.0600.1310.1260.0800.0600.1200.0380.0000.0650.1400.0490.1090.1070.0760.0600.0900.0970.1370.0960.0960.0960.1110.0740.0890.0540.0470.0510.0450.0750.0610.0730.0000.1760.1690.1470.1580.1460.2010.1130.1250.1230.0810.1090.0000.1660.1220.1550.1050.1980.1890.1970.1650.1760.2280.1330.2480.2500.1240.0910.2250.2420.1790.1440.1080.1940.1430.1500.0740.0910.0670.0980.1140.1350.1060.1440.0990.1120.0090.1700.2431.0000.1310.2260.1690.1760.1380.1380.1200.1890.0580.2580.1640.2090.2010.1140.0960.0800.0680.0940.0450.1240.0860.0540.0900.0970.6830.3580.2500.2940.3130.3030.1670.1160.1670.1900.1480.2610.2260.0000.0000.0050.0190.0000.1080.0000.0210.0630.1090.0850.0850.1790.0000.1460.0660.0090.0320.1190.0610.147
Symptom_Reproductive_all_menstrual_issues0.0330.0360.0510.0580.0000.0750.0430.0610.0660.0710.0710.0480.0320.0000.0320.0820.0600.0520.0350.0710.0000.0410.0510.0660.0970.0300.0330.0830.0990.0880.0100.0810.0000.0000.0600.1050.0640.0810.0990.0720.0750.0080.0500.0920.1030.0850.0920.0480.0440.0260.0280.0470.0410.0000.0060.0340.0000.0000.0770.0890.0680.0980.1030.1040.0450.0630.0510.0430.0530.0560.1040.0710.1260.0790.1020.1140.1520.0950.1330.1540.0630.1170.1210.1020.0790.1250.1010.1140.1480.0830.1530.1270.1200.0650.0450.0380.0810.1110.0860.0690.1470.0720.1320.0100.0330.0980.1311.0000.1130.1180.1030.0860.0730.1280.1330.0370.1130.0950.0900.0680.1090.0840.0210.0650.0360.0000.0770.0710.0470.0050.0160.1170.1630.0890.1340.0820.0670.0700.0440.0850.0820.0600.0740.0840.0430.3830.2250.1970.0280.2050.2910.5090.0110.0870.0140.0000.0090.0680.0430.1180.0000.0390.0680.0180.100
Symptom_Bladder_control0.0230.0980.0980.1050.0500.0550.0730.0890.0620.0740.0910.0430.0420.0190.0630.1120.1080.0900.0630.1000.0000.0520.0530.1120.1060.0330.0190.0880.1120.0690.0560.0780.0030.0000.0840.1330.0720.1070.1080.0770.0360.0370.0370.0800.0600.1000.0930.0880.0650.0870.0580.0410.0220.0380.0000.0990.1340.0470.1270.1320.1040.1210.1210.1550.1010.0610.0870.0580.0650.0000.1470.1000.0690.0670.1400.1420.1070.0870.0960.1550.0910.1310.1840.0660.0790.1510.1510.1430.1320.1040.1510.1310.1520.0590.0900.0600.0450.0590.1320.1230.0790.1410.0950.0380.1260.1550.2260.1131.0000.1280.1430.1320.1470.1080.1230.0770.1930.1090.1450.1620.0940.1100.0480.0470.0750.0320.0790.0500.0530.0640.0740.2140.1920.1520.1360.1600.1540.0990.0770.0910.1240.1150.1350.1410.0000.0730.0340.0000.0000.4450.0860.0850.0530.0970.0990.0860.1240.0320.1100.0790.0880.0000.0770.0400.102
Symptom_Peeling_skin0.0590.0480.0810.0750.0140.0540.0450.0580.0330.0570.0760.0420.0180.0000.0370.0540.0630.0470.0770.1030.0410.0000.0430.0810.0800.0560.0210.0720.0660.0580.0290.0730.0000.0000.0680.1050.0790.1100.0730.0560.0400.0310.0450.0960.0820.0760.0900.0710.0710.0730.0310.0350.0500.0270.0000.0170.1300.0000.1520.1270.1000.1020.1060.1030.0880.1070.0750.0430.0810.0170.0930.0790.1100.0780.1340.1240.1080.0760.0900.1730.1000.1270.1570.0780.0920.1360.1670.1130.1220.1030.1300.0970.0910.0710.0760.0470.0440.0610.1220.0850.0910.0790.1010.0170.1200.1130.1690.1180.1281.0000.2260.2010.1610.0920.2340.0380.1660.1000.1160.1370.1000.0860.0880.0460.0710.0000.0450.0880.0480.0860.0210.1480.1370.1240.1230.1180.1190.1040.0750.1160.1280.1190.1270.0800.0210.0540.0000.0100.0230.0000.0000.0400.0330.0760.0440.1730.0950.0210.1240.0400.0520.0160.0580.0300.085
Symptom_Petechiae0.0130.0850.0550.0960.0190.0620.0640.0710.0540.0710.0720.0480.0380.0000.0050.0800.0860.0640.0710.1170.0330.0570.0950.1130.0890.0380.0210.0880.0860.0820.0410.0910.0450.0160.0620.1410.0360.1000.1050.0850.0390.0760.0560.1270.1400.0590.1050.0850.0540.0640.0250.0200.0480.0530.0000.1230.1510.0210.1660.1460.1090.1110.1080.1340.0520.1020.1090.0810.0840.0520.1340.0600.1250.0960.1420.1540.1340.1390.1140.2660.1100.1240.1930.1180.1100.1650.1620.1340.1440.0840.1660.1290.1460.0680.1040.1110.0930.0950.1190.0820.1370.1190.1200.0370.1230.1650.1760.1030.1430.2261.0000.2060.2420.1580.2690.0410.1910.1130.1490.1810.0920.1370.0840.0720.0570.0800.0610.1080.0940.1210.0480.1780.1680.1450.1660.1630.1200.0700.0650.1220.1450.1520.1440.1030.0000.0340.0020.0000.0200.0800.0230.0120.0330.1090.0640.1420.1030.0470.1470.0720.0280.0470.0750.0280.107
Symptom_Covid_toes0.0200.0580.0470.0810.0190.0450.0650.0770.0690.0360.0800.0000.0240.0070.0200.0660.0720.0520.1040.0670.0220.0000.0670.0770.0590.0490.0150.0570.0560.0430.0000.0720.0000.0090.0410.1090.0270.0970.0530.0320.0550.0450.0180.0770.0760.0490.0790.0720.0440.0510.0490.0340.0340.0140.0220.0800.1430.0390.1400.1460.1100.1310.1080.1130.0800.0660.0670.0500.1160.0220.0920.0730.0930.0710.1460.1180.0740.1000.0850.1920.1110.1140.1470.0860.0700.1510.1560.0800.0890.0850.1160.0920.0970.0700.0700.0990.0530.0590.0950.0700.1120.1000.0710.0390.1040.1040.1380.0860.1320.2010.2061.0000.1760.0820.1500.0140.1390.1100.1330.1330.0770.0900.0520.0220.0340.0830.0430.0690.0500.1000.0400.1360.1350.0970.1060.1130.1060.0940.0590.1040.1220.0950.0920.0910.0000.0380.0340.0210.0110.0850.0000.0160.0200.0900.0350.0610.0970.0150.1550.0420.0360.0000.0600.0230.055
Symptom_Dermatographia0.0160.0670.0630.0620.0190.0610.0530.0480.0540.0680.0940.0280.0000.0000.0330.0760.0910.0700.0790.0640.0500.0250.0660.1090.0920.0150.0370.1010.0750.0630.0000.0750.0000.0000.0360.1170.0350.1240.1240.0790.0000.0720.0290.1260.0720.0760.0800.0980.0840.0660.0320.0450.0190.0000.0420.1610.1130.0580.1550.1050.0990.1090.0800.1120.0600.0920.0770.0280.0590.0320.1370.0580.0870.0590.1140.1170.0850.0790.0710.1780.1010.1000.1560.0880.1190.1380.1310.1080.1030.0770.1120.0910.1250.0760.0640.0480.0590.0610.1360.0890.0890.1060.0720.0000.1030.1080.1380.0730.1470.1610.2420.1761.0000.1750.2290.0000.1800.0920.1330.1760.0980.0700.0970.0660.0730.0080.0790.0910.0750.1260.0290.1530.1540.1120.1300.1380.1210.0970.0510.0830.1010.1170.1400.0580.0000.0000.0270.0800.0000.0450.0000.0000.0460.0750.0780.1840.1080.0950.1080.0990.0650.0000.0500.0200.108
Symptom_New_allergies0.0110.0470.0850.0880.0000.0360.0560.0480.0340.0540.0680.0270.0000.0000.0300.0740.0710.0300.0270.0830.0100.0000.0700.0700.0660.0000.0110.0560.0650.0720.0240.0710.0290.0330.0300.0480.0290.0600.1130.0930.0040.0160.0440.0540.0910.0490.0750.0460.0240.0740.0310.0280.0200.0020.0810.0000.0000.0000.1160.0700.0690.0830.0700.0920.0200.0490.0550.0220.0280.0050.1300.0630.0610.0240.1080.0990.0720.0850.0730.1410.0940.0890.1300.0800.3440.1250.1120.1290.0960.0810.1120.0990.1100.0220.0320.0430.0560.0580.0710.0380.0770.0550.0830.0130.0590.1190.1200.1280.1080.0920.1580.0820.1751.0000.1630.0040.1140.0530.0760.0890.0710.0880.0490.0670.0680.0240.1090.0600.0620.0690.0130.1110.1230.1140.1010.0960.1030.0680.0450.0770.0910.0840.0800.0580.0060.0590.0000.0200.0000.0600.0070.0310.0240.0860.0510.0170.0000.2610.0000.7780.0090.0220.0460.0070.233
Symptom_Skin_rashes0.0440.0420.0470.0810.0210.0550.0890.0640.0420.0560.0880.0310.0390.0520.0710.1060.0650.0590.0570.1000.0130.0000.0750.0970.0820.0480.0290.0790.0620.0680.0640.0660.0960.0560.0910.1390.0690.1030.1270.0660.0000.0840.0180.1150.0840.0630.0960.0840.0620.0400.0690.0000.0280.0290.0240.1370.0650.0000.2010.1080.0740.1120.0790.1350.0400.1030.0800.0330.0580.0370.1230.1020.1270.0980.1420.1730.1170.1080.1080.1990.0930.1330.1790.1050.1190.1510.1480.1320.1440.1250.1750.1260.1340.0640.0770.0720.0960.1190.1330.1080.1440.1070.1390.0330.0980.1300.1890.1330.1230.2340.2690.1500.2290.1631.0000.0550.1690.1410.1640.1480.1150.0960.0760.0140.0300.0450.0740.1080.0750.0650.0700.1850.1690.1440.1510.1550.1260.0450.0370.1350.1320.1250.1160.1390.0150.0520.0000.0150.0000.0700.0000.0280.0000.1280.0560.2800.0230.0740.0540.0610.1030.0410.0650.0300.128
Symptom_Skin_Allergy_other0.0000.0470.0360.0570.0670.0150.0410.0340.0090.0000.0000.0000.0800.0000.0020.0000.0180.0000.0000.0370.0000.0820.0000.0000.0260.0000.0000.0090.0070.0000.1030.0340.0190.0500.0600.0460.0360.0220.0180.0190.0260.0480.0060.0270.0020.0000.0180.0000.0000.0000.0650.0180.0190.0000.0000.0000.0360.0630.0930.0430.0230.0390.0340.0310.0000.0080.0000.0000.0000.0000.0270.0800.0400.0270.0710.0900.0220.0250.0590.0690.0170.0720.0540.0430.0090.0460.0390.0580.0590.0490.0760.0730.0320.0000.0420.0260.0310.0310.0290.0230.0340.0000.0520.1210.0100.0490.0580.0370.0770.0380.0410.0140.0000.0040.0551.0000.0510.0420.0520.0460.0000.0330.0100.0000.0100.0070.0000.0000.0170.0000.0980.0380.0800.0700.0550.0640.0180.0000.0110.0280.0670.0550.0220.1240.0000.0000.0000.0000.0000.0520.0160.0000.0230.0110.0000.0380.0000.0000.0110.0130.0800.0770.0110.0170.048
Symptom_Muscle_spasms0.0750.0870.0910.1120.0000.1150.0940.1050.1160.0960.1680.0470.0380.0570.1250.1230.1470.1390.1250.1730.0180.0000.0970.1790.1720.0400.0520.1680.1450.1280.0210.1450.0220.0130.0390.1060.0460.1090.0900.1020.0350.2050.1040.1510.1490.1030.1230.1990.0990.1000.0460.0760.0000.0260.0320.1280.1140.0250.2160.2220.1550.1550.1960.2900.1520.1180.1260.0730.1030.0120.1740.0920.1480.1010.1650.1970.2050.1200.1660.2280.1340.1940.3350.1480.1200.2250.2330.1680.1620.1290.1960.1510.1810.0940.0940.0660.1080.1380.1250.1170.1540.1710.1420.0000.1360.1990.2580.1130.1930.1660.1910.1390.1800.1140.1690.0511.0000.2650.2830.2800.1360.1360.0530.0550.0840.0190.0970.1340.0980.1200.0450.2570.2510.1890.2150.1960.1680.1220.0520.1130.1230.1270.1970.0900.0000.0000.0760.0660.0000.0670.0300.0000.0100.1270.1160.1450.1420.0430.1130.0560.0170.0340.1190.0350.132
Symptom_Muscle_aches0.0890.0720.0320.0450.0160.1150.0980.0840.0780.0670.0940.0620.0000.0970.0900.0700.1050.0920.0560.0810.0000.0050.1050.1880.0960.0950.0590.1230.1420.0920.0000.0620.0150.0000.0630.1160.0550.0710.0720.0780.0330.0500.0640.1500.0830.0820.0900.1420.0500.0360.0720.0650.0000.0300.0000.0560.0140.0000.1090.1150.0730.1190.1060.1150.1790.0620.0650.0070.0430.0320.1280.0800.1720.1510.1170.2200.1320.0790.1290.1170.0770.2180.2770.1570.0500.1530.1360.1020.1580.1070.2350.1540.1140.1300.1110.0260.1460.1780.1440.1190.1660.1340.1960.0150.0650.1290.1640.0950.1090.1000.1130.1100.0920.0530.1410.0420.2651.0000.4380.2940.1040.0920.0400.0240.0490.0000.0780.1000.0320.0670.0000.1640.1820.1520.1780.1230.0730.0630.0160.0670.1030.0790.1090.0670.0000.0620.0000.0460.0000.0520.0000.0130.0000.1130.0590.1310.1010.0390.0320.0000.0000.0130.1910.1410.059
Symptom_Joint_pain0.0790.0860.0590.0990.0000.1020.1050.0890.0760.0780.1230.0540.0120.0680.0750.0960.1310.0950.0790.0620.0000.0180.1510.2200.1050.0580.0660.1410.1390.1030.0000.0730.0360.0100.0770.1390.0630.1280.0980.1040.0580.0510.0820.1460.1120.0900.0990.1420.0830.0700.0590.0400.0000.0460.0000.0920.0870.0540.1610.1480.0940.1190.1330.1460.1470.0720.0610.0350.0280.0340.1450.1020.1690.1340.1390.2050.1440.0890.1350.1430.0940.2050.3090.1710.0570.1680.1660.1300.1400.1340.1970.1300.1280.1200.1120.0560.1310.1330.1550.1260.1470.1550.1570.0230.1330.1570.2090.0900.1450.1160.1490.1330.1330.0760.1640.0520.2830.4381.0000.3760.0940.0860.0580.0180.0440.0260.0860.1400.0890.0940.0000.2080.2000.1840.2080.1490.0920.0720.0390.0970.1200.1060.1390.0830.0360.0320.0000.0730.0000.0840.0110.0000.0000.1370.0950.1260.1270.0700.1150.0110.0000.0000.1440.1040.098
Symptom_Bone_ache_burning0.0570.0940.0750.1100.0000.0980.0820.0860.0900.1050.1680.0360.0200.0430.0900.1190.1350.1250.1250.0830.0000.0000.1020.1610.1280.0680.0640.1150.1270.1210.0260.1290.0000.0230.0650.1640.0570.1450.1250.1340.0890.0660.0610.1360.1390.0750.0990.1500.0920.0840.0590.0700.0000.0310.0180.1030.1240.0300.2110.1450.1190.1440.1260.1970.1240.1100.1030.0760.0580.0480.1650.0920.1540.1240.1500.1840.1190.0890.1140.1680.1210.1720.3300.1170.0900.1910.1800.1310.1260.1400.1760.1390.1280.0900.1130.0650.0940.1350.1600.1130.1540.1670.1220.0280.1400.1440.2010.0680.1620.1370.1810.1330.1760.0890.1480.0460.2800.2940.3761.0000.0900.1050.0810.0020.1090.0150.0990.1190.0590.1170.0000.2090.2040.1500.1820.1510.1250.1020.0590.0860.1090.1050.1550.0910.0260.0340.0000.0620.0000.0940.0280.0000.0630.0870.0790.1260.1040.0000.1240.0430.0000.0270.1120.0540.109
Symptom_Extreme_thirst0.0170.0250.0160.0470.0000.0620.0340.0360.0420.0400.0250.0610.0000.0080.0000.0650.0480.0760.0710.0790.0390.0000.0130.0660.0900.0450.0370.0540.0960.0610.0310.0610.0000.0000.0530.0780.0680.0960.0580.0640.0230.0450.0790.0860.0520.0750.0920.0510.0580.0000.0300.0150.0570.0230.0000.0980.0500.0000.1000.1090.0720.1070.0680.0860.0670.0700.0570.0260.0550.0500.1310.0620.1060.0720.1260.1490.1440.0330.1090.1610.0720.1190.1140.0850.0340.0990.0860.0750.1040.0790.1290.1040.0750.0420.0560.0000.0860.0550.0760.0620.0910.0460.0720.0000.0600.1000.1140.1090.0940.1000.0920.0770.0980.0710.1150.0000.1360.1040.0940.0901.0000.0400.0450.0000.0110.0000.0970.0620.0210.0880.0220.1130.1210.1470.1200.0920.0250.0490.0430.0780.0820.0620.0810.0410.0000.0840.0620.0000.0000.0710.0240.0560.0080.0720.0310.1110.1090.0000.0480.0110.0280.0000.0520.0310.080
Symptom_Difficulty_swallowing0.0210.0500.0660.0450.0160.0400.0380.0490.0200.0410.0590.0250.0160.0090.0720.0760.0580.0610.1020.0980.0000.0160.0970.1760.0680.0130.0470.1110.0430.0600.0220.0930.0430.0070.0540.0780.0480.0580.0920.0460.0590.0600.0280.0950.1630.0510.0800.0620.0490.0740.0320.0250.0000.0000.0000.0870.0550.0000.1260.1040.0490.0980.1190.0940.0690.0840.0730.0520.0690.0000.1110.0650.0880.0590.0690.0700.0940.0920.0810.1320.0710.1120.1380.1130.1080.0810.0860.0990.1030.0550.1070.1160.2060.0610.0680.0190.1000.1180.1070.0890.1380.0860.1790.0290.0700.1240.0960.0840.1100.0860.1370.0900.0700.0880.0960.0330.1360.0920.0860.1050.0401.0000.0490.0560.0270.0000.0300.1250.1450.0750.0610.1080.1280.1360.1390.1230.1000.0510.0350.0540.0680.0820.0940.0480.0000.0430.0000.0220.0000.0450.0000.0640.0740.0800.0700.0660.0920.0460.1190.0460.0270.0170.0560.0140.082
Symptom_Changes_in_voice0.0000.0000.0060.0190.0130.0110.0000.0110.0000.0000.0360.0000.0000.0360.0000.0000.0000.0080.0440.0270.0000.0710.0000.0490.0240.0000.0000.0380.0190.0000.0000.0280.0250.0240.0600.0430.0170.0370.0520.0060.0330.0480.0000.0470.0780.0000.0190.0520.0110.0700.0000.0330.0000.0000.0740.0000.0110.0340.0520.0560.0480.0600.0540.0420.0000.0710.0570.0000.0620.0000.0450.0460.0750.0230.1040.0590.0850.0950.0470.0740.0430.0360.0610.0890.0640.0450.1070.0480.0360.0110.0510.0260.0640.0720.0520.0000.0930.0840.0660.0430.0980.1140.0930.0680.0760.0720.0800.0210.0480.0880.0840.0520.0970.0490.0760.0100.0530.0400.0580.0810.0450.0491.0000.0280.0000.0000.0400.0940.0460.0530.0370.0700.0420.0640.0730.0830.0600.0250.0000.0270.0850.0670.0770.0550.0000.0000.0000.0300.0870.0380.0200.0000.0510.0470.0000.0360.0620.0310.0960.0270.0080.0000.0530.0000.063
Symptom_Inability_to_yawn0.0000.0000.0420.0000.0000.0070.0000.0000.0320.0190.0000.0010.0110.0000.0000.0120.0000.0000.0000.0230.0000.0000.0000.0000.0620.0000.0000.0200.0000.0160.0000.0670.0000.0000.0000.0000.0270.0580.0120.0000.0660.0000.0270.0360.0950.0430.0340.0000.0280.0470.0000.0240.0110.0000.0000.0000.0580.0240.0680.0960.0960.0440.0570.1030.0090.0720.0510.0300.1090.0000.0650.0560.0290.0000.0530.0200.0640.0820.0650.1430.0640.0000.0610.0890.0670.0310.0200.0600.0290.0000.0050.0280.0540.0000.0000.0050.0690.0560.0140.0020.0760.0000.0150.0140.0470.0810.0680.0650.0470.0460.0720.0220.0660.0670.0140.0000.0550.0240.0180.0020.0000.0560.0281.0000.1560.0000.0190.0360.0840.0920.0490.0610.0490.0760.0340.0580.0310.0720.0280.0340.0540.0220.0200.0310.0320.0000.0530.0190.0050.0000.0220.0160.0210.0000.0000.0000.0620.0290.0000.0550.0480.0230.0000.0310.070
Symptom_inability_to_cry0.0000.0760.1270.0610.0000.0490.0550.0690.0500.0830.0680.0390.0000.0000.0560.0730.0820.0300.0760.0510.0510.0000.0000.0000.0640.0000.0220.0000.0870.0390.0500.0590.0000.0120.0210.0500.0410.0770.0730.0680.0510.0230.0090.0300.0290.0610.0610.0280.0460.0560.0210.0490.0480.0000.0000.0770.0560.0000.0410.0550.0720.0470.0440.0740.0760.0410.0230.0040.0620.0300.0920.0660.0410.0410.0630.0540.0190.0410.0250.0850.0510.0380.0730.0220.0580.0890.1020.0590.0220.0460.0560.0640.0320.0000.0000.0220.0000.0200.0530.0550.0270.0390.0000.0000.0670.0590.0940.0360.0750.0710.0570.0340.0730.0680.0300.0100.0840.0490.0440.1090.0110.0270.0000.1561.0000.0170.0930.0200.0240.1010.0340.1050.1030.0610.0540.0550.0800.0660.0650.0370.0330.0070.0470.0480.0000.0000.0750.0910.0000.0400.0000.0000.0210.0000.0000.0310.0430.0260.0650.0640.0000.0000.0240.0000.072
Symptom_coughing_up_blood0.0000.0010.0520.0510.0000.0000.0300.0150.0060.0000.0340.0060.0450.0000.0130.0510.0270.0230.0500.0150.0670.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0570.0300.0260.0000.0280.0000.0340.0820.0090.0640.0380.0130.0520.0180.0000.0280.0000.0000.0000.0790.0670.0340.0100.0170.0120.0130.0000.0270.0140.0530.0000.0240.0540.0000.0000.0400.0620.0340.0450.0190.0450.0180.0390.0630.0250.0250.0590.0000.0480.0660.0200.0200.0290.0140.0450.0100.0400.1610.8500.0470.0640.0580.0630.0530.1070.0350.0000.0370.0170.0450.0000.0320.0000.0800.0830.0080.0240.0450.0070.0190.0000.0260.0150.0000.0000.0000.0000.0171.0000.0000.0420.0480.0400.0000.0460.0210.0000.0410.0510.0520.0410.0580.0000.0610.0500.0160.0000.0130.0000.0160.0000.0000.0170.0240.0290.0000.0190.0200.0000.0000.0490.0410.0370.0000.0110.0000.0000.028
Symptom_Ear_sensitivity_to_noise0.0370.1450.1130.1190.0550.1350.1650.1730.1020.0650.1090.0930.0000.0190.1280.1380.1750.1320.0670.1080.0320.0000.0460.0770.1590.0590.0350.0450.1900.0880.0000.0900.0150.0000.0840.1040.0840.0690.1600.0980.0410.0540.0270.0940.0740.0620.1070.0750.0230.0510.0430.0610.0530.0000.0630.0890.0000.0460.0950.0580.0900.1350.0560.1050.0860.0400.0580.0410.0270.0000.1540.0800.0450.0370.0930.0860.0830.0740.0640.0610.0630.1130.1060.0370.0500.1120.1190.0740.0140.0420.0840.0620.0810.0230.0000.0000.0440.0380.0000.0320.0690.0560.0390.0000.0000.0650.1240.0770.0790.0450.0610.0430.0790.1090.0740.0000.0970.0780.0860.0990.0970.0300.0400.0190.0930.0001.0000.1450.1180.0480.1770.1330.3380.0910.1150.1060.0710.1020.0340.0080.0740.0490.1250.0000.0470.0000.0210.1000.0000.0280.0000.0000.0890.0000.0790.0560.0760.0580.0720.1000.0000.0270.1290.0180.075
Symptom_Ear_ear_pain0.0210.0240.0320.0550.0000.0360.0000.0000.0440.0520.0490.0170.0000.0220.0230.0280.0360.0760.0420.0700.0160.0000.0900.0930.1070.0310.0860.1320.0380.1050.0000.0900.0210.0240.0240.0900.0330.1110.0810.0640.0160.0600.0310.0790.0780.0500.0620.0230.0420.0060.0000.0310.0290.0000.0000.0000.0490.0000.0870.1140.0680.0470.0600.0920.0560.0890.0890.0690.0480.0330.0680.0380.0990.0400.0900.1230.0730.0560.0510.1270.0740.0760.1440.0460.0530.0590.0770.0850.1110.0650.1390.0800.0920.0710.0520.0640.0670.0980.1450.0900.1040.0580.1590.0000.1380.0720.0860.0710.0500.0880.1080.0690.0910.0600.1080.0000.1340.1000.1400.1190.0620.1250.0940.0360.0200.0420.1451.0000.1960.1190.1180.0810.0690.0980.1820.0770.0630.0240.0230.0730.0630.0710.0830.0410.0000.0630.0040.0140.0360.0530.0000.0000.0200.1570.0490.1120.1060.0530.0660.0450.0000.0000.0260.0000.055
Symptom_Ear_changes_to_ear_canal0.0000.0060.0380.0000.0320.0280.0000.0270.0430.0530.0460.0190.0000.0510.0300.0570.0580.0510.0580.0720.0000.0000.0370.0610.1170.0000.0300.0300.0250.0270.0000.0900.0000.0160.0760.0670.0540.0960.0710.0570.0690.0430.0280.0730.0740.0610.0790.0000.0570.0370.0250.0000.0060.0000.0000.0250.0650.0000.0810.0920.0350.0550.0690.0960.0000.0960.1030.1240.0510.0320.0880.0230.0780.0210.0510.0790.0510.0770.0560.0910.0430.0770.1060.0520.0650.0790.0610.0620.0610.0720.0940.0610.0960.0340.0480.0590.0620.0530.1320.1130.0640.0860.1030.0350.1630.1430.0540.0470.0530.0480.0940.0500.0750.0620.0750.0170.0980.0320.0890.0590.0210.1450.0460.0840.0240.0480.1180.1961.0000.1180.1270.0580.0650.1200.1190.0860.0780.0380.0190.0570.1010.1110.0940.0430.0000.0060.0000.0000.0520.0370.0000.0070.0000.0840.0790.0380.1230.0420.0710.0630.0260.0000.0000.0000.069
Symptom_Ear_numbness0.0000.0750.1000.1060.0000.0470.0480.0570.0650.0790.1060.0220.0000.0000.0430.0380.0750.0990.0860.0570.0220.0000.0000.0590.1140.0400.0500.0530.0540.0480.0110.0930.0000.0510.0490.0730.0880.1310.0710.0920.0140.0810.0280.1140.1170.0360.0630.0650.0640.0510.0080.0300.0370.0000.0000.1000.1100.0000.1110.1970.1960.0730.1000.0930.0800.1960.1170.0960.1490.0330.0920.0130.0550.0330.0570.0720.0510.0550.0270.1190.1330.0650.1330.0660.0820.1480.1630.0900.0390.0820.0650.0440.0520.0000.0280.0730.0450.0420.0710.0310.0580.0730.0300.0000.1790.0830.0900.0050.0640.0860.1210.1000.1260.0690.0650.0000.1200.0670.0940.1170.0880.0750.0530.0920.1010.0400.0480.1190.1181.0000.0490.1020.1150.0760.1280.0880.1460.1180.0290.0700.0780.1150.0950.0000.0340.0000.0790.0430.0000.0000.0000.0150.0140.0580.0660.0810.0680.0000.1120.0730.0560.0170.0000.0530.052
Symptom_Other_ear_hearing_symptoms0.0000.0200.0470.0170.0930.0000.0290.0000.0060.0000.0280.0000.0460.0000.0060.0000.0000.0000.0320.0220.0000.0890.0270.0000.0350.0250.0260.0170.0000.0380.0820.0300.0000.0000.0170.0000.0580.0740.0000.0110.0000.0000.0000.0090.0000.0190.0000.0100.0160.0320.0490.0240.0350.0000.0000.0550.0000.0000.0330.0110.0310.0000.0000.0470.0460.0260.0320.0370.0280.0000.0000.0650.0330.0000.0210.0000.0250.0200.0000.0450.0000.0000.0360.0000.0470.0740.0300.0150.0000.0000.0030.0000.0330.0040.0410.0160.0000.0000.0360.0310.0000.0000.0000.0570.1590.1400.0970.0160.0740.0210.0480.0400.0290.0130.0700.0980.0450.0000.0000.0000.0220.0610.0370.0490.0340.0000.1770.1180.1270.0491.0000.0440.0000.0480.0630.0660.0620.0190.0190.0000.0550.0780.0710.1450.0300.0000.0120.0190.0000.1170.0000.0160.0000.0440.0310.0000.0530.0000.0050.0150.1020.0670.0320.0140.033
Symptom_Eye_Vision_blurred_vision0.0580.1460.1320.1340.0100.1300.1300.1440.0900.0940.1390.0610.0160.0640.1190.1890.1520.1550.1130.1660.0570.0000.1250.1560.1600.0290.0660.1460.1420.0770.0540.1110.0350.0000.0940.1450.0520.1150.1020.0830.0650.0870.0890.1570.1110.1100.1050.1050.1000.0670.0690.0440.0630.0270.0580.0870.0680.0160.1810.1700.1410.1740.1540.2160.1190.1170.1200.0660.0890.0150.1850.1140.1610.1090.2030.2070.1860.1520.1620.1920.1450.2410.2390.1410.0760.2230.2380.1640.1510.1200.2010.1540.1480.1050.1000.0750.1210.1320.1450.1280.1540.1290.1240.0000.1410.2220.6830.1170.2140.1480.1780.1360.1530.1110.1850.0380.2570.1640.2080.2090.1130.1080.0700.0610.1050.0460.1330.0810.0580.1020.0441.0000.3610.2410.2740.2920.2960.1640.0990.1400.1880.1580.2350.1750.0280.0270.0000.0700.0000.1120.0520.0000.0750.0950.0620.1120.2040.0170.1300.0360.0090.0000.1230.0730.121
Symptom_Eye_Vision_sensitivity_to_light0.0660.1510.1460.1620.0000.1670.1840.1940.1240.1220.1700.1310.0240.0730.1230.1830.2030.1520.1220.1580.0480.0470.1980.1810.2340.1060.1130.1600.2560.1920.0260.1300.0270.0000.1220.1360.1020.1180.1510.1100.0860.0850.0510.1420.1280.1190.1570.1190.1140.0770.0780.0820.0830.0060.0560.1040.0790.0000.1850.1510.1270.1770.1440.1750.1660.1270.1300.0890.0830.0320.2330.1320.1700.0990.1770.1940.1870.1350.1890.1880.1570.2540.2310.1260.1040.2380.2260.1780.1560.1240.2310.1560.1400.0850.0980.0480.1230.1370.1460.1340.1410.1080.1640.0240.1380.2160.3580.1630.1920.1370.1680.1350.1540.1230.1690.0800.2510.1820.2000.2040.1210.1280.0420.0490.1030.0210.3380.0690.0650.1150.0000.3611.0000.2520.3350.2390.2030.1630.0820.1250.1890.1660.2470.1920.0030.0700.0300.0840.0050.0940.0000.0250.0630.0990.0890.1090.1910.0810.1250.0740.0100.0240.1510.0580.152
Symptom_Eye_Vision_dry_eyes0.0000.0880.0520.0900.0280.0840.0720.0890.0680.0820.0870.0720.0280.0420.0540.0950.1110.0740.0480.1020.0000.0000.1090.1570.1390.0550.0400.1140.1180.0880.0450.0730.0350.0000.0680.1030.0350.0770.0950.0590.0530.0460.0620.1170.0960.1060.1120.0880.0990.0530.0800.0390.0530.0420.0000.1070.0140.0240.1640.1270.0870.1520.1080.1580.0830.0840.0930.0380.0720.0000.1600.1080.1230.0730.1300.1540.1420.1200.1450.1850.0800.1680.1790.0990.0910.1180.1310.1570.1350.0940.1730.1370.1570.0900.0980.0340.0920.1010.1330.0780.1190.0770.1360.0220.0950.1760.2500.0890.1520.1240.1450.0970.1120.1140.1440.0700.1890.1520.1840.1500.1470.1360.0640.0760.0610.0000.0910.0980.1200.0760.0480.2410.2521.0000.2230.2160.1310.0950.0440.1640.2390.2300.1740.2190.0000.0380.0080.0510.0340.0960.0000.0120.0690.0940.0660.0820.3280.0520.0820.0330.0110.0000.0890.0530.114
Symptom_Eye_Vision_eye_pressure_pain0.0620.0970.0810.0940.0190.1000.0920.1060.1030.1010.1040.0740.0330.0550.0780.1570.1350.1080.0920.1020.0000.0360.2990.1590.2320.0730.1070.1620.1700.1280.0430.1330.0410.0210.1010.1320.0750.1350.1150.0830.0330.0590.0810.1250.1100.0860.1200.0990.0700.0670.0560.0540.0340.0350.0350.0260.0660.0170.1710.1490.1220.1320.1100.1500.1200.1760.1570.1240.0600.0400.1350.1170.1350.0890.1410.1840.1480.1380.1650.1800.0980.1920.2270.1310.0910.1710.1750.1440.1400.1110.2030.1240.1510.0720.0660.0720.1090.1420.1420.1140.1520.1030.1510.0340.0900.1880.2940.1340.1360.1230.1660.1060.1300.1010.1510.0550.2150.1780.2080.1820.1200.1390.0730.0340.0540.0410.1150.1820.1190.1280.0630.2740.3350.2231.0000.2090.1630.1270.0860.1060.1830.1660.1820.2330.0000.0850.0000.0050.0000.0900.0000.0640.0260.1350.0840.1050.1790.0470.1300.0570.0000.0000.0850.0280.114
Symptom_Eye_Vision_floaters0.0580.0940.0730.0910.0000.0780.1010.1090.0550.0820.1200.0430.0090.0530.0650.1290.1170.1030.0740.1070.0280.0100.1300.1530.1280.0490.0690.0980.1100.0760.0220.0920.0570.0330.1030.1340.0640.1140.0760.0690.0340.0450.0690.1230.0930.1280.1190.1270.0960.0510.0750.0320.0370.0730.0450.0820.1230.0390.1400.1290.1050.1660.1080.1500.0700.1190.0830.0430.0680.0170.1550.0990.1110.0590.1250.1470.1310.1130.1290.1550.0810.1760.1720.0960.0610.1670.1550.1240.1250.0760.1520.0850.1550.0880.0960.0670.0890.1020.1320.1040.1040.1150.1090.0300.1310.2240.3130.0820.1600.1180.1630.1130.1380.0960.1550.0640.1960.1230.1490.1510.0920.1230.0830.0580.0550.0510.1060.0770.0860.0880.0660.2920.2390.2160.2091.0000.1810.1330.0930.0950.1810.1320.3280.1660.0000.0390.0000.0560.0000.0670.0190.0000.0640.0760.0570.1020.1510.0480.1320.0500.0150.0170.0790.0320.109
Symptom_Eye_Vision_double_vision0.0580.1000.1070.1290.0000.0890.0720.0950.0750.0580.1160.0430.0280.0000.0780.1300.0810.0910.0970.1000.0000.0390.0650.0660.1060.0270.0510.0770.0900.0820.0480.1280.0000.0000.0520.0800.0370.0900.0970.0540.0510.0650.0390.0780.0860.0600.0760.0540.0490.0650.0160.0650.0440.0000.0720.1470.0920.0000.1090.1070.1310.0950.0900.1430.0820.0870.0790.0580.0680.0150.1180.0800.0890.0570.1330.0910.1080.1190.0890.1040.1240.1180.1310.0820.0890.1720.2090.1120.0770.0510.1070.0840.0730.0390.0470.0630.0540.0680.0900.0630.0850.0950.0550.0280.1130.1250.3030.0670.1540.1190.1200.1060.1210.1030.1260.0180.1680.0730.0920.1250.0250.1000.0600.0310.0800.0520.0710.0630.0780.1460.0620.2960.2030.1310.1630.1811.0000.1820.1110.0770.1220.1270.1590.1120.0000.0000.0170.0170.0000.0700.0240.0290.0840.0540.0410.0670.1150.0420.0930.0740.0490.0000.0490.0290.098
Symptom_Eye_Vision_tunnel_vision0.0420.0690.1500.1020.0040.0600.0690.0720.0940.0550.1360.0390.0000.0000.0810.1180.1150.0870.0880.1000.0120.0000.0540.0590.1160.0430.0450.0650.0860.0550.0000.0900.0000.0000.0660.0960.0580.1340.0880.0840.0450.0610.0360.0410.0570.0630.0590.0550.0250.0630.0130.0330.0540.0000.0470.0910.1260.0000.0830.1050.0990.0880.0830.1050.0780.0610.0760.0730.0650.0280.1020.0620.0690.0540.1100.0740.0830.0770.0660.0980.1100.0870.1050.0480.0910.1630.1340.0700.0500.0460.0840.0680.0520.0110.0460.0440.0330.0470.0850.0530.0680.0690.0400.0160.0720.0970.1670.0700.0990.1040.0700.0940.0970.0680.0450.0000.1220.0630.0720.1020.0490.0510.0250.0720.0660.0410.1020.0240.0380.1180.0190.1640.1630.0950.1270.1330.1821.0000.1140.0290.1030.0970.1510.0710.0000.0290.0660.1110.0000.0000.0000.0000.0790.0500.0430.0540.0620.0450.0860.0500.0110.0350.0390.0220.074
Symptom_Eye_Vision_loss_of_vision0.0110.0460.0680.0490.0000.0300.0290.0340.0220.0490.0640.0000.0000.0000.0330.0100.0360.0450.0810.0410.0000.0430.0350.0230.0330.0470.0140.0000.0240.0160.0390.0570.0000.0160.0140.0110.0000.0540.0410.0370.0000.0420.0040.0100.0340.0100.0610.0130.0280.0490.0000.0000.0000.0000.0000.0490.1040.0000.0400.0710.0820.0520.0410.0510.0120.0230.0460.0460.0650.0240.0410.0000.0310.0410.0560.0360.0490.0340.0330.0520.0700.0470.0540.0380.0500.0810.0940.0420.0270.0260.0440.0250.0540.0000.0120.0600.0220.0270.0450.0330.0320.0430.0060.0080.0570.0470.1160.0440.0770.0750.0650.0590.0510.0450.0370.0110.0520.0160.0390.0590.0430.0350.0000.0280.0650.0580.0340.0230.0190.0290.0190.0990.0820.0440.0860.0930.1110.1141.0000.0310.0290.0310.0990.0560.0600.0150.0000.0230.0000.0300.0170.0000.0000.0320.0000.0260.0410.0120.0640.0450.0350.0360.0170.0000.022
Symptom_Eye_Vision_pink_eye0.0000.0160.0310.0200.0200.0260.0410.0510.0250.0000.0260.0230.0310.0000.0000.0460.0300.0220.0420.0500.0290.0000.0290.0520.0480.0130.0000.0420.0160.0260.0300.0490.0330.0000.0280.0420.0180.0350.0780.0310.0300.0470.0410.0720.0780.0530.0610.0390.0680.0480.0270.0000.0300.0350.0000.0290.0260.0000.1040.0990.0740.0930.0420.0940.0350.0490.0520.0250.0420.0440.0630.0420.0920.0660.0980.1000.1010.0630.0620.1530.0620.0930.1170.0640.0790.0860.0790.0620.1120.0500.1150.0760.0920.0480.0410.0390.0470.0610.0960.0560.0970.0730.1060.0180.0440.1020.1670.0850.0910.1160.1220.1040.0830.0770.1350.0280.1130.0670.0970.0860.0780.0540.0270.0340.0370.0000.0080.0730.0570.0700.0000.1400.1250.1640.1060.0950.0770.0290.0311.0000.2300.2080.0780.2280.0400.0240.0000.0000.0150.0000.0000.0000.0320.0810.0390.0300.1880.0000.0000.0420.0000.0000.0410.0220.085
Symptom_Eye_Vision_bloodshot_eyes0.0320.0730.0590.0550.0000.0520.0350.0690.0560.0680.0440.0560.0000.0210.0780.0850.0780.0590.0660.1210.0000.0000.0820.1060.1040.0500.0380.0520.0710.0500.0290.0910.0230.0000.0720.0630.0400.0890.1200.0860.0700.0330.0590.1030.0820.1020.0920.0540.0780.0500.0380.0290.0480.0180.0350.0930.0760.0000.1150.0980.0670.1270.0890.1060.0670.0870.0610.0460.0820.0290.1070.0740.1180.0670.1230.1220.1110.1100.1070.1540.0900.1150.1390.0650.0880.1300.1030.0960.1300.0460.1170.1130.1110.0540.0810.0760.0660.0810.1250.1100.0920.0850.1230.0200.0790.1500.1900.0820.1240.1280.1450.1220.1010.0910.1320.0670.1230.1030.1200.1090.0820.0680.0850.0540.0330.0610.0740.0630.1010.0780.0550.1880.1890.2390.1830.1810.1220.1030.0290.2301.0000.2830.1500.2100.0000.0320.0350.0420.0000.0530.0200.0000.0000.0590.0870.0280.2090.0000.0560.0280.0450.0000.0740.0110.110
Symptom_Eye_Vision_redness_outside_eye0.0000.0330.0540.0580.0320.0530.0240.0900.0590.0400.0550.0390.0250.0300.0400.0780.0640.0640.0600.0640.0000.0000.0600.0850.1010.0460.0510.0580.0750.0570.0250.0700.0220.0000.0230.0640.0630.0870.0910.0320.0700.0230.0000.0950.0960.0540.0750.0660.0430.0390.0300.0330.0300.0040.0000.1030.0800.0000.1020.0890.0760.1080.0890.1000.0810.0950.0900.0590.0700.0420.0980.0610.0730.0460.1360.1040.0890.0920.0900.1280.0730.0960.1130.0790.1000.0950.1100.0880.1000.0870.1180.0870.0810.0660.0730.0760.0560.0770.1070.0530.0980.0950.0790.0320.0900.1310.1480.0600.1150.1190.1520.0950.1170.0840.1250.0550.1270.0790.1060.1050.0620.0820.0670.0220.0070.0500.0490.0710.1110.1150.0780.1580.1660.2300.1660.1320.1270.0970.0310.2080.2831.0000.0950.1910.0000.0000.0000.0370.0250.0450.0000.0000.0280.0720.0900.0780.2300.0150.0670.0170.0150.0080.0530.0000.068
Symptom_Eye_Vision_seeing_things_peripheral_vision0.0430.1290.1020.1310.0000.0990.1010.1110.0870.0930.1800.0510.0170.0640.0870.1020.1230.1140.1130.0900.0000.0200.1070.1130.1440.0560.0680.0860.1290.0880.0150.1150.0300.0000.1170.1680.0900.1120.1060.0710.0480.0330.0550.1150.0820.1240.1470.1250.1200.0620.0610.0410.0560.0280.1800.0000.0180.0440.1490.1240.1210.1400.0920.1590.0950.1330.1080.0520.0610.0320.1580.0730.0980.0690.1390.1390.1210.0980.1040.1280.0960.1600.1660.0970.0680.2010.1790.1120.1160.0780.1490.0880.1390.0640.0700.0480.0880.0850.1270.1030.1110.1230.1030.0160.1330.1750.2610.0740.1350.1270.1440.0920.1400.0800.1160.0220.1970.1090.1390.1550.0810.0940.0770.0200.0470.0160.1250.0830.0940.0950.0710.2350.2470.1740.1820.3280.1590.1510.0990.0780.1500.0951.0000.1010.0000.0130.0000.0480.0320.0740.0000.0000.0690.0640.0850.1000.1490.0310.1030.0210.0000.0270.0690.0250.103
Symptom_Eye_Vision_other_eye_issues0.0000.0630.0450.0480.1000.0470.0600.0770.0540.0480.0330.0410.0870.0000.0480.0790.0670.0420.0410.0720.0000.0730.0800.0490.0790.0130.0130.0470.0700.0320.1130.0550.0570.0270.0610.0560.0400.0320.0640.0410.0440.0000.0100.0530.0220.0360.0420.0320.0290.0230.0990.0000.0790.0000.0520.0280.0360.0760.0930.0790.0470.1040.0610.0940.0470.0510.0540.0630.0350.0090.0720.1400.0530.0310.1270.1220.0830.0760.1220.1300.0450.1340.1180.0570.0690.0900.1090.0810.0990.0360.1210.0940.0910.0600.0690.0350.0580.0400.0960.0900.0650.0480.1040.1010.0650.1160.2260.0840.1410.0800.1030.0910.0580.0580.1390.1240.0900.0670.0830.0910.0410.0480.0550.0310.0480.0000.0000.0410.0430.0000.1450.1750.1920.2190.2330.1660.1120.0710.0560.2280.2100.1910.1011.0000.0000.0150.0000.0210.0170.1100.0560.0000.0270.0520.0360.0000.2230.0000.0340.0000.0680.0270.0690.0260.086
Symptom_Reproductive_early_menopause0.0190.0000.0200.0550.0120.0000.0000.0300.0320.0440.0260.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0430.0000.0000.0400.0000.0000.0000.0000.0330.0000.0000.0000.0000.0000.0000.0900.0780.0000.0530.0000.0000.0270.0120.0410.0000.0000.0000.0220.0000.0000.0000.0000.0200.0000.0630.0400.0000.0000.0100.0410.0110.0000.0110.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0350.0210.0000.0000.0000.0000.0000.0090.0320.0100.0000.0430.0000.0210.0000.0000.0000.0060.0150.0000.0000.0000.0360.0260.0000.0000.0000.0320.0000.0130.0470.0000.0000.0340.0300.0280.0030.0000.0000.0000.0000.0000.0600.0400.0000.0000.0000.0001.0000.0490.0000.0000.0000.0330.0320.0000.0000.0030.0000.0000.0000.0170.0220.0000.0660.0000.0000.0000.007
Symptom_Reproductive_abnormally_heavy_periods_clotting0.0540.0000.0000.0000.0000.0000.0290.0270.0190.0350.0000.0000.0000.0000.0000.0280.0170.0000.0000.0000.0000.0310.0690.0000.0510.0160.0760.0200.0920.0590.0290.0230.0000.0420.0140.0220.0230.0370.0460.0680.0430.0000.0000.0480.0490.0620.0280.0230.0100.0340.0000.0120.0000.0000.0560.0650.0000.0800.0000.0250.0540.0460.0470.0510.0340.0430.0520.0000.0490.0630.0510.0130.0890.0970.0000.0890.1070.0550.0700.1200.0450.0670.0270.0680.0380.0440.0000.0000.0870.0790.0770.0420.0000.0590.0000.0260.0640.0810.0430.0000.0580.0080.0630.0220.0310.0000.0000.3830.0730.0540.0340.0380.0000.0590.0520.0000.0000.0620.0320.0340.0840.0430.0000.0000.0000.0000.0000.0630.0060.0000.0000.0270.0700.0380.0850.0390.0000.0290.0150.0240.0320.0000.0130.0150.0491.0000.1460.0990.0700.1660.0420.2210.0000.0170.0000.0000.0000.0000.0120.0560.0150.0000.0540.0090.035
Symptom_Reproductive_testicle_penis_pain_changes0.0250.0000.0370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0210.0320.0210.0000.0000.0170.0100.0000.0000.0000.0000.0000.0000.0000.0080.0450.0000.0000.0400.0150.0150.0560.0550.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0410.0000.0840.0000.0000.0200.0000.0000.0200.0000.0000.0140.0440.0400.0200.0000.0180.0000.0100.0000.0520.0140.0000.0540.0000.0570.0240.0000.0440.0000.0000.0390.0000.0000.0160.0180.0340.0420.0290.0420.0440.0000.0000.0320.0000.0000.0380.0000.0430.0250.0310.0000.0000.0000.0000.0330.0000.0180.0800.0050.2250.0340.0000.0020.0340.0270.0000.0000.0000.0760.0000.0000.0000.0620.0000.0000.0530.0750.0160.0210.0040.0000.0790.0120.0000.0300.0080.0000.0000.0170.0660.0000.0000.0350.0000.0000.0000.0000.1461.0000.0690.0370.0870.1390.1680.0480.0280.0390.0000.0000.0000.0420.0000.0000.0000.0760.0000.000
Symptom_Reproductive_sexual_dysfunction0.0000.0630.0680.0790.0270.0680.0830.1050.0600.0720.0670.0520.0160.0350.0390.0490.0940.0390.0760.0430.0510.0090.0230.0510.0380.0110.0000.0000.0940.0400.0000.0000.0360.0000.0000.0620.0260.0480.0000.0000.0000.0640.0130.0650.0250.0100.0300.0500.0620.0780.0000.0210.0000.0000.0920.0960.0690.0000.0400.0690.0490.0280.0220.0290.0910.0010.0480.0000.0400.0000.0580.0000.0150.0000.0000.0090.0000.0000.0000.0000.0930.0420.0430.0000.0320.1020.1010.0400.0000.0340.0000.0000.0000.0000.0430.0000.0000.0000.0360.0410.0000.0610.0000.0000.0410.0570.0190.1970.0000.0100.0000.0210.0800.0200.0150.0000.0660.0460.0730.0620.0000.0220.0300.0190.0910.0000.1000.0140.0000.0430.0190.0700.0840.0510.0050.0560.0170.1110.0230.0000.0420.0370.0480.0210.0000.0990.0691.0000.0410.1720.1310.1190.0510.0000.0690.0920.0200.0000.1060.0000.0000.0000.0160.0240.060
Symptom_Reproductive_postmenopausal_bleeding0.0000.0000.0000.0160.0000.0150.0000.0000.0080.0000.0000.0300.0000.0000.0300.0000.0520.0000.0000.0280.0250.0000.0000.0000.0120.0000.0000.0000.0000.0320.0000.0350.0000.0330.0000.0000.0000.0000.0000.0150.0000.0810.0170.0370.0520.0000.0000.0400.0000.0360.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0180.0320.0000.0000.0100.0350.0000.0000.0000.0000.0190.0200.0000.0190.0020.0450.0000.0000.0000.0000.0210.0000.0000.0010.0190.0070.0000.0000.0070.0230.0000.0000.0000.0190.0000.0000.0000.0000.0000.0280.0000.0230.0200.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0870.0050.0000.0000.0000.0360.0520.0000.0000.0000.0050.0340.0000.0000.0000.0000.0000.0150.0000.0250.0320.0170.0000.0700.0370.0411.0000.0560.0500.0820.0000.0000.0000.0230.0000.0000.0000.0000.0000.0300.0000.0000.000
Symptom_Reproductive_other_urinary_issues0.0000.0610.0100.0490.0670.0000.0320.0190.0120.0370.0180.0020.0670.0420.0250.0750.0590.0320.0260.1010.0000.0300.0170.0580.0260.0380.0220.0320.0000.0000.0840.0470.0610.0200.0750.0350.0380.0250.0530.0500.0000.0580.0260.0000.0000.0000.0140.0370.0000.0320.0360.0000.0000.0000.0000.0000.0000.1690.0770.0680.0140.0530.0390.0790.0440.0340.0340.0490.0300.0240.0650.0940.0000.0000.1090.0780.0270.0000.0230.0400.0100.0570.1030.0330.0540.0420.0410.0870.0360.0710.1020.0830.0810.0000.0480.0000.0230.0000.0550.0730.0220.0400.0480.0690.0620.0660.1080.2050.4450.0000.0800.0850.0450.0600.0700.0520.0670.0520.0840.0940.0710.0450.0380.0000.0400.0170.0280.0530.0370.0000.1170.1120.0940.0960.0900.0670.0700.0000.0300.0000.0530.0450.0740.1100.0330.1660.0870.1720.0561.0000.1480.2080.0430.0400.0590.0620.0560.0000.0330.0380.1070.0000.0410.0080.067
Symptom_Reproductive_other_menstrual_issues0.0000.0000.0000.0000.0270.0000.0290.0000.0000.0000.0280.0000.0870.0540.0000.0000.0000.0070.0120.0000.0110.0280.0000.0370.0160.0320.0160.0000.0000.0390.0750.0000.0000.0000.0000.0130.0000.0000.0000.0000.0400.0000.0000.0170.0000.0000.0000.0000.0370.0410.0280.0660.0000.0560.0000.0000.0000.0560.0090.0270.0000.0470.0280.0060.0420.0000.0130.0320.0000.0240.0000.0650.0000.0000.0000.0000.0000.0000.0130.0000.0000.0170.0210.0000.0080.0700.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0160.0160.0580.0110.0400.0000.2910.0860.0000.0230.0000.0000.0070.0000.0160.0300.0000.0110.0280.0240.0000.0200.0220.0000.0240.0000.0000.0000.0000.0000.0520.0000.0000.0000.0190.0240.0000.0170.0000.0200.0000.0000.0560.0320.0420.1390.1310.0500.1481.0000.0310.0150.0000.0000.0000.0000.0390.0280.0420.0590.0000.0000.0550.000
Symptom_Reproductive_abnormally_irregular_periods0.0000.0170.0620.0500.0200.0130.0340.0000.0000.0390.0440.0210.0000.0130.0000.0560.0000.0320.0000.0000.0000.0000.0210.0000.0620.0000.0440.0300.0000.0000.0000.0000.0000.0000.0300.0470.0310.0250.0250.0400.0090.0000.0240.0370.0330.0400.0440.0330.0040.0000.0000.0000.0000.0000.0480.0000.0000.0000.0000.0040.0000.0070.0000.0000.0000.0240.0000.0000.0000.0560.0320.0000.0740.0150.0370.0220.0700.0520.0840.0230.0000.0270.0000.0350.0000.0500.0050.0110.0740.0280.0590.0730.0000.0440.0000.0320.0570.0840.0050.0120.0830.0070.0590.0280.0000.0000.0210.5090.0850.0400.0120.0160.0000.0310.0280.0000.0000.0130.0000.0000.0560.0640.0000.0160.0000.0290.0000.0000.0070.0150.0160.0000.0250.0120.0640.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.2210.1680.1190.0820.2080.0311.0000.0000.0000.0000.0000.0150.0170.0000.0000.0360.0000.0070.0000.031
Symptom_Gastrointestinal_feeling_full_quickly_eating0.0000.0310.0270.0430.0000.0340.0240.0320.0540.0550.0340.0000.0000.0000.0100.0320.0580.0320.0370.0050.0000.0000.0000.0430.0420.0000.0000.0330.0100.0280.0080.0190.0080.0110.0760.0520.0360.0500.0470.0410.0000.0000.0000.0000.0200.0120.0000.0000.0200.0000.0320.0250.0570.0310.0460.0700.0000.0000.0290.0000.0380.0510.0000.0150.0180.0420.0370.0210.0100.0000.0750.0530.0220.0000.0470.0000.0460.0470.0280.0400.0400.0000.0260.0430.0260.0450.0570.0960.0620.0370.0310.2090.0290.0000.0000.0000.0520.0000.0390.0190.0000.0000.0260.0000.0480.0240.0630.0110.0530.0330.0330.0200.0460.0240.0000.0230.0100.0000.0000.0630.0080.0740.0510.0210.0210.0000.0890.0200.0000.0140.0000.0750.0630.0690.0260.0640.0840.0790.0000.0320.0000.0280.0690.0270.0000.0000.0480.0510.0000.0430.0150.0001.0000.2190.1180.0430.0680.0000.0690.0000.0000.0000.0000.0000.037
Symptom_Gastrointestinal_abdominal_pain0.0340.0000.0170.0460.0280.0390.0360.0300.0190.0390.0220.0540.0000.0140.0730.0850.0370.0630.1040.0870.0000.0080.0480.0960.0690.0750.0680.1150.0900.0860.0190.0830.0090.0380.0180.0840.0240.0900.0560.0430.0310.0000.0370.0800.0840.0300.0630.0310.0130.0360.0230.0610.0000.0220.0000.0000.0000.0000.0760.1010.0770.0610.0690.0590.0180.0810.0580.0430.0400.0390.0540.0370.1050.0540.0750.1150.0880.0730.0600.1020.0320.1190.1600.0690.0620.1080.1080.1320.1410.0970.1990.0400.1630.0340.0370.0210.0500.1230.0880.0230.1660.0580.1220.0000.0600.1020.1090.0870.0970.0760.1090.0900.0750.0860.1280.0110.1270.1130.1370.0870.0720.0800.0470.0000.0000.0190.0000.1570.0840.0580.0440.0950.0990.0940.1350.0760.0540.0500.0320.0810.0590.0720.0640.0520.0030.0170.0280.0000.0000.0400.0000.0000.2191.0000.0000.0660.0660.0250.0420.0680.0000.0000.0710.0080.068
Symptom_Gastrointestinal_hyperactive_bowel0.0460.0540.0710.0620.0000.0000.0300.0550.0660.0710.0550.0000.0000.0000.0090.0610.0380.0910.0430.0100.0260.0000.0000.0720.0470.0000.0000.0380.0310.0270.0000.0520.0000.0000.0550.0680.0390.1210.0490.0560.0680.0300.0000.0810.0410.0890.0790.0640.0890.0530.0000.0000.0590.0000.0340.0330.1130.0000.0900.0630.0000.0830.0610.0850.0420.0540.0300.0520.0210.0620.0830.0270.0310.0200.0650.0830.0630.0130.0460.0550.0000.0670.0910.0000.0370.0710.0680.0130.2650.0640.0970.0410.1070.0330.0720.0320.0000.0000.0590.0340.0120.0660.0130.0200.0400.0860.0850.0140.0990.0440.0640.0350.0780.0510.0560.0000.1160.0590.0950.0790.0310.0700.0000.0000.0000.0200.0790.0490.0790.0660.0310.0620.0890.0660.0840.0570.0410.0430.0000.0390.0870.0900.0850.0360.0000.0000.0390.0690.0000.0590.0000.0000.1180.0001.0000.0490.0800.0690.0640.0470.0230.0410.0000.0000.075
Symptom_SkinAllergy_itchy_skin0.0500.0810.0130.0530.0000.0500.0770.0620.0580.1020.0800.0230.0000.0000.0380.0860.0890.0260.0550.0620.0000.0000.0690.0970.0740.0580.0400.1080.0970.0820.0090.0090.0200.0000.0310.1250.0000.0750.0230.0190.0000.0520.0190.1020.0290.0520.0400.0900.0460.0000.0000.0000.0500.0350.0000.0440.1550.0000.2970.0580.0000.0730.0450.0860.0410.0660.0510.0000.0000.0460.0860.0520.0890.1030.0700.1210.0550.0400.0500.0600.0590.0710.1380.0420.0200.0880.0860.0860.0990.0900.1010.0590.0290.0830.0570.0150.0730.0440.1090.0630.0750.0870.0540.0000.0580.0640.0850.0000.0860.1730.1420.0610.1840.0170.2800.0380.1450.1310.1260.1260.1110.0660.0360.0000.0310.0000.0560.1120.0380.0810.0000.1120.1090.0820.1050.1020.0670.0540.0260.0300.0280.0780.1000.0000.0000.0000.0000.0920.0230.0620.0000.0000.0430.0660.0491.0000.0590.0400.0070.0630.0240.0350.0210.0340.024
Symptom_SkinAllergy_itchy_eyes0.0000.0880.0850.0680.0000.0510.0560.0850.0600.0710.0740.0230.0000.0530.0420.0680.0920.1010.0940.0930.0000.0000.1020.1400.1070.0580.0660.0980.1150.0800.0000.0900.0000.0230.0750.1160.1020.0930.0290.0690.0530.0350.0000.0920.0950.1060.0960.0680.1020.0850.0750.0100.0730.0000.0600.0780.0880.0210.0980.1090.0150.1190.0890.1060.0640.0820.0760.0540.0630.0350.1030.0490.0710.0610.1010.0920.1160.0600.0820.0830.0600.1120.1100.0790.0420.1080.1090.0850.0820.0430.1470.0710.0960.0650.0820.0000.0620.0450.1680.1020.0780.1160.0900.0000.1010.1200.1790.0090.1240.0950.1030.0970.1080.0000.0230.0000.1420.1010.1270.1040.1090.0920.0620.0620.0430.0000.0760.1060.1230.0680.0530.2040.1910.3280.1790.1510.1150.0620.0410.1880.2090.2300.1490.2230.0000.0000.0000.0200.0000.0560.0000.0150.0680.0660.0800.0591.0000.0100.0250.0160.0000.0390.0620.0380.028
Symptom_SkinAllergy_heighted_reaction_allergies0.0000.0000.0290.0660.0000.0010.0490.0520.0120.0080.0340.0640.0000.0180.0000.0110.0360.0000.0120.0500.0000.0000.0060.0370.0000.0310.0170.0100.0780.0750.0000.0200.0000.0240.0440.0330.0570.0420.0800.0520.0450.0000.0000.0100.0330.0440.0440.0000.0000.0370.0620.0320.0000.0090.0280.0000.0000.0000.0130.0060.0000.0350.0250.0580.0370.0280.0510.0000.0120.0350.0750.0150.0040.0120.0560.0300.0390.0280.0480.0300.0430.0190.0620.0510.1450.0740.0300.0450.0260.0110.0450.0510.0560.0000.0550.0350.0580.0620.0630.0580.0460.0750.0310.0110.0360.0230.0000.0680.0320.0210.0470.0150.0950.2610.0740.0000.0430.0390.0700.0000.0000.0460.0310.0290.0260.0490.0580.0530.0420.0000.0000.0170.0810.0520.0470.0480.0420.0450.0120.0000.0000.0150.0310.0000.0170.0000.0000.0000.0000.0000.0390.0170.0000.0250.0690.0400.0101.0000.0000.2180.0000.0100.0420.0000.160
Symptom_SkinAllergy_brittle_nail0.0140.0490.0890.1010.0170.0530.0460.0400.0620.0550.0940.0240.0370.0000.0000.0600.0380.0590.0640.0810.0000.0090.0610.0800.0840.0300.0540.0390.0770.0820.0000.0770.0480.0650.0770.0630.0860.0940.0370.0330.0360.0750.0560.0680.0470.0570.0740.0790.0840.0720.0000.0600.0240.0000.0000.0670.0680.0000.0930.1140.0770.0830.1140.1070.1040.0590.0720.0450.0870.0000.1170.0300.0610.0580.0930.0220.0670.0470.0400.0980.0690.0620.1190.0400.0260.1000.1170.0720.0470.0770.0800.0630.0740.0310.0820.0490.0390.0310.0870.0430.0540.0860.0560.0540.1170.0820.1460.0430.1100.1240.1470.1550.1080.0000.0540.0110.1130.0320.1150.1240.0480.1190.0960.0000.0650.0410.0720.0660.0710.1120.0050.1300.1250.0820.1300.1320.0930.0860.0640.0000.0560.0670.1030.0340.0220.0120.0420.1060.0000.0330.0280.0000.0690.0420.0640.0070.0250.0001.0000.0270.0000.0000.0400.0060.056
Symptom_SkinAllergy_new_allergies0.0000.0300.0760.0620.0000.0000.0390.0400.0000.0300.0500.0000.0000.0000.0160.0370.0380.0000.0000.0550.0000.0000.0210.0280.0280.0090.0000.0240.0400.0540.0250.0160.0000.0280.0000.0090.0300.0440.0970.0730.0000.0000.0470.0250.0710.0180.0510.0000.0000.0760.0000.0080.0160.0000.0170.0000.0000.0000.0210.0530.0460.0680.0330.0560.0000.0490.0400.0000.0000.0000.1110.0440.0360.0000.0740.0610.0370.0500.0000.1090.0640.0270.0580.0150.3450.0870.0610.1040.0450.0580.0500.0720.0800.0160.0000.0470.0000.0100.0380.0000.0530.0000.0350.0000.0500.0900.0660.1180.0790.0400.0720.0420.0990.7780.0610.0130.0560.0000.0110.0430.0110.0460.0270.0550.0640.0370.1000.0450.0630.0730.0150.0360.0740.0330.0570.0500.0740.0500.0450.0420.0280.0170.0210.0000.0000.0560.0000.0000.0000.0380.0420.0000.0000.0680.0470.0630.0160.2180.0271.0000.0270.0190.0460.0000.224
Symptom_SkinAllergy_other_itchy0.0000.0270.0000.0000.0500.0000.0000.0310.0130.0000.0000.0000.0860.0000.0000.0150.0000.0400.0000.0450.0000.0000.0000.0040.0000.0000.0000.0460.0000.0000.0690.0000.0520.0320.0000.0280.0000.0000.0000.0000.0000.0360.0000.0000.0000.0000.0000.0000.0000.0090.0270.0000.0000.0000.0000.0490.0000.0730.0000.0390.0000.0300.0150.0290.0000.0150.0000.0000.0000.0300.0430.0480.0000.0150.0240.0200.0000.0000.0000.0200.0340.0000.0220.0000.0420.0450.0000.0000.0000.0160.0330.0000.0350.0000.0110.0000.0000.0250.0370.0320.0000.0000.0000.0770.0570.0000.0090.0000.0880.0520.0280.0360.0650.0090.1030.0800.0170.0000.0000.0000.0280.0270.0080.0480.0000.0000.0000.0000.0260.0560.1020.0090.0100.0110.0000.0150.0490.0110.0350.0000.0450.0150.0000.0680.0660.0150.0000.0000.0000.1070.0590.0360.0000.0000.0230.0240.0000.0000.0000.0271.0000.0100.0230.0000.046
Symptom_SkinAllergy_shingles0.0000.0040.0060.0420.0060.0000.0000.0000.0470.0000.0530.0100.0000.0000.0190.0000.0000.0000.0050.0360.0440.0000.0000.0000.0000.0040.0000.0080.0000.0380.0300.0000.0000.0000.0000.0330.0000.0420.0270.0560.0180.0270.0190.0000.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0040.0320.0260.0070.0400.0000.0280.0480.0020.0690.0000.0000.0000.0160.0060.0330.0000.0480.0000.0180.0540.0190.0090.0800.0180.0030.0000.0280.0320.0000.0000.0110.0000.0000.0000.0000.0170.0000.0300.0000.0110.0360.0000.0000.0000.0450.0350.0320.0390.0000.0160.0470.0000.0000.0220.0410.0770.0340.0130.0000.0270.0000.0170.0000.0230.0000.0110.0270.0000.0000.0170.0670.0000.0240.0000.0000.0170.0000.0350.0360.0000.0000.0080.0270.0270.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0410.0350.0390.0100.0000.0190.0101.0000.0000.0000.004
Symptom_PEM0.0360.0790.0230.0710.0000.1190.1280.1120.0670.0000.0650.0960.0000.0610.0510.0820.0820.0700.0080.1020.0000.0000.0380.0680.0930.0480.0370.0770.1700.0620.0250.0380.0490.0270.0000.0400.0000.0100.0550.0400.0150.0000.0460.0870.1010.0640.0570.0620.0000.0140.0700.0000.0240.0450.0000.0000.0670.0000.0490.0660.0410.0760.0810.0500.0820.0410.0240.0280.0300.0000.1020.0640.1300.1030.0780.1280.1760.0850.1640.0730.0780.1850.1140.1860.0380.0950.0980.0740.0820.0660.1260.1060.0970.0960.0250.0340.2140.1800.0490.0390.1470.0800.0990.0100.0180.1200.1190.0680.0770.0580.0750.0600.0500.0460.0650.0110.1190.1910.1440.1120.0520.0560.0530.0000.0240.0000.1290.0260.0000.0000.0320.1230.1510.0890.0850.0790.0490.0390.0170.0410.0740.0530.0690.0690.0000.0540.0760.0160.0000.0410.0000.0070.0000.0710.0000.0210.0620.0420.0400.0460.0230.0001.0000.1970.073
Symptom_Fatigue0.0000.0180.0000.0000.0000.0810.0550.0460.0140.0000.0000.0420.0000.0140.0490.0380.0300.0370.0000.0200.0000.0000.0400.0400.0190.0000.0280.0000.0450.0290.0000.0000.0000.0000.0000.0080.0000.0190.0000.0190.0000.0120.0270.0430.0060.0190.0220.0390.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0100.0370.0220.0880.0560.0320.0830.0720.0280.0770.0000.0340.1270.0600.0760.0000.0530.0490.0390.0550.0300.0790.0560.0400.0900.0380.0000.1110.0840.0570.0480.0400.0290.0710.0000.0000.0390.0610.0180.0400.0300.0280.0230.0200.0070.0300.0170.0350.1410.1040.0540.0310.0140.0000.0310.0000.0000.0180.0000.0000.0530.0140.0730.0580.0530.0280.0320.0290.0220.0000.0220.0110.0000.0250.0260.0000.0090.0000.0240.0000.0080.0550.0000.0000.0080.0000.0340.0380.0000.0060.0000.0000.0000.1971.0000.000
Symptom_Change_sensitivity_to_meds0.0000.0810.0850.1010.0370.0090.0670.0770.0440.0270.0750.0240.0410.0000.0640.0550.0560.0440.0530.0550.0330.0250.0570.0830.0760.0310.0170.0630.0730.0960.0230.0760.0830.0690.0550.0600.0580.0610.0920.0780.0490.0610.0600.0780.0720.0350.0510.0540.0040.0820.0230.0000.0300.0000.0160.0190.0580.0000.1040.0950.0810.1200.0840.0970.0880.0850.0660.0710.0430.0000.1470.1070.0950.0500.1230.1230.1240.0930.1120.1190.0790.1290.1490.0870.1830.1190.1010.1440.0820.0660.1170.0890.0990.0360.0590.0540.0490.0770.0710.0680.1000.0670.0870.0240.0900.1330.1470.1000.1020.0850.1070.0550.1080.2330.1280.0480.1320.0590.0980.1090.0800.0820.0630.0700.0720.0280.0750.0550.0690.0520.0330.1210.1520.1140.1140.1090.0980.0740.0220.0850.1100.0680.1030.0860.0070.0350.0000.0600.0000.0670.0000.0310.0370.0680.0750.0240.0280.1600.0560.2240.0460.0040.0730.0001.000

Missing values

2023-09-05T23:32:45.033479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-05T23:32:45.495559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-09-05T23:32:46.693585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Symptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_New_allergiesSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Extreme_thirstSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_Inability_to_yawnSymptom_inability_to_crySymptom_coughing_up_bloodSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_new_allergiesSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_meds
0NaNNaNNaNNaNNaN1.00.01.01.00.00.01.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.00.00.00.00.00.00.01.00.01.00.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0NaNNaN100101000100000000001000010010100000000001000100NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.00.00.00.00.00.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.00.00.01.00.00.0110
11.01.01.01.00.01.01.01.01.00.00.01.00.01.01.00.01.01.00.00.00.00.00.01.00.01.00.00.01.01.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.01.00.00.00.00.00.00.00.01.01.01.0NaNNaNNaNNaN0.00.00.00.01.00.01.00.00.00.00.00.00.01.0100100000101010000010100110010100100000000000110NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.01.00.00.00.00.00.00.00.00.00.01.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.00.01.00.00.00.0110
21.00.00.00.00.01.00.01.01.00.00.01.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.01.01.00.01.00.00.01.00.00.00.01.00.01.01.00.00.00.00.00.00.01.01.00.00.00.00.00.00.0NaN0.00.00000111000000000000001000000001000000011000011100.00.01.00.00.00.0NaNNaNNaNNaNNaN1.00.00.00.00.00.00.00.00.00.01.01.00.0NaNNaNNaNNaNNaNNaNNaNNaN1.00.00.0NaNNaNNaNNaNNaNNaNNaN110
31.00.00.01.00.00.01.01.01.00.00.01.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.01.01.01.01.00.00.01.00.01.01.01.01.01.00.00.00.01.00.01.01.00.01.01.00.00.00.01.01.00.00.00.00.00.01.01.00.00.00.01.01.00.00.00.00.00.01.01.00.01101101001110001101111001100111001000000000011000.01.01.00.00.00.0NaNNaNNaNNaNNaN0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.01.01.00.0NaNNaNNaNNaNNaNNaNNaN110
4NaNNaNNaNNaNNaN0.00.00.01.00.00.01.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.01.01.01.00.00.00.01.00.00.01.0NaNNaNNaNNaNNaNNaNNaN1.00.00.01.01.01.01.01.00.00.00.00.01.01.01001101101010000101101001110111001010000000101101.00.00.00.00.00.00.00.01.00.00.00.00.01.00.00.00.00.00.01.01.01.00.00.00.00.00.00.00.00.01.00.01.00.00.01.01.00.00.00.00.00.0110
51.01.00.00.00.01.00.01.00.00.00.01.00.00.00.00.01.00.00.00.00.00.00.00.01.01.00.00.01.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.01.01.00.01.00.01.00.00.00.01.00.01.00.0NaNNaNNaNNaN1.01.00.00.01.01.00.00.00.00.00.0NaN0.00.00001101001010000100100001100000000000000000011000.00.01.00.00.00.0NaNNaNNaNNaNNaN0.00.01.00.00.00.00.00.01.01.00.00.01.0NaNNaNNaNNaNNaNNaNNaNNaN0.01.01.0NaNNaNNaNNaNNaNNaNNaN110
6NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.01.00.01.00.00.00.00.01.01.01.01.00.01.00.00.00.00.00.01.01.01.00.00.01.00.01.01.01.01.00.00.0NaNNaNNaNNaN1.01.01.01.01.00.01.01.00.00.00.00.00.01.0110111000111000000111100110010110100100000011110NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN111
7NaNNaNNaNNaNNaN1.01.01.01.00.00.01.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaN1.00.00.01.01.00.01.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.00.01.00.00.00.00.00.01.01.00.01.0NaNNaNNaNNaN1.01.00.01.01.00.01.00.00.01.00.00.01.00.0000111100011000000110100110000100000000000000110NaNNaNNaNNaNNaNNaN0.01.00.00.01.01.00.01.00.00.00.00.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN1.00.00.01.00.00.00.00.00.00.0110
81.01.00.00.00.01.01.01.01.00.00.00.00.01.01.00.00.00.00.01.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.01.01.01.00.00.00.0NaNNaN1.00.00.00.01.00.00.00.01.01.00.00.0NaNNaNNaNNaN0.00.01.00.00.00.01.00.00.00.00.0NaN0.00.00000101001010001000001001010001000000010010001000.01.00.00.00.00.0NaNNaNNaNNaNNaN0.00.00.00.00.00.00.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.00.00.01.00.00.0110
91.00.00.00.00.00.01.00.00.00.00.00.01.01.00.00.00.00.01.00.00.00.01.01.00.00.00.01.01.00.01.00.00.00.01.00.01.00.00.00.00.01.01.01.00.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaN1.00.00.00.00.00.00.00.00.00.00.00.00.01.00001101001010000000111001100101000100000011011110.01.01.00.00.00.01.00.00.00.00.01.00.00.00.00.00.00.00.01.00.00.00.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.01.00.00.01.00.00.0110
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Duplicate rows

Most frequently occurring

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